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Day-Ahead Electricity Markets: Is There a Place For a Day-Ahead Market in NZEM?,
Lewis Evans and Kevin Counsell, from Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation (2003)
Keywords: electricity, day-ahead market,
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Impact of Reserve and Fixed Costs on the Day-Ahead Scheduling Problem in Greece’s Electricity Market,
Panagiotis Andrianesis, George Liberopoulos, Kostis Sakellaris and Andreas Vlachos, from University Library of Munich, Germany (2008)
Keywords: Electricity Market, Day-Ahead Scheduling
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Comparative analysis of features of Polish and Lithuanian Day-ahead electricity market prices,
Viktorija Bobinaite, Aldona Juozapaviciene, Marcin Staniewski and Piotr Szczepankowski, in Energy Policy (2013)
Keywords: Day-ahead market price; Volatility; Spikes;
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Hourly Electricity Prices in Day-Ahead Markets,
Ronald Huisman, C. Huurman and Ronald Mahieu, from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam (2007)
Keywords: Day-ahead electricity, Electricity prices, Energy markets, Panel models
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Trading power instead of energy in day-ahead electricity markets,
Rens Philipsen, Germán Morales-España, Mathijs de Weerdt and Laurens de Vries, in Applied Energy (2019)
Keywords: Unit commitment; Power-based scheduling; Market design; Day-ahead market;
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Literature review. Pricing rule alternatives for the European day-ahead market,
Felix Weissensteiner, in Managerial Economics (2023)
Keywords: day-ahead market, uniform pricing, discriminatory pricing, Vickrey-Clarke-Groves
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Iran's day-ahead electricity market: Structural assessment and solutions,
Ali Karimi, Nader Tarashandeh, Amirmasoud Kouchakzadeh, Farshad Kouchakmohseni and Mitra Naghiloo, in Utilities Policy (2022)
Keywords: Iran's day-ahead market; Centralized commitment; Self-commitment;
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Forecasting price spikes in day-ahead electricity markets: techniques, challenges, and the road ahead,
Samaneh Sheybanivaziri, Jérôme Le Dréau and Hussain Kazmi, from Norwegian School of Economics, Department of Business and Management Science (2024)
Keywords: Spikes; Electricity markets; Day-ahead market; Point forecast; Probabilistic forecasts
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Market Power in Power Markets: An Analysis of Residual Demand Curves in California’s Day-ahead Energy Market (1998-2000),
Chiara Lo Prete and Benjamin F. Hobbs, in The Energy Journal (2015)
Keywords: Market power; California; Day-ahead electricity market; PX
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Internalization of reliability unit commitment in day-ahead market: Analysis and interpretation,
Menghan Zhang, Zhifang Yang, Wei Lin, Juan Yu and Wenyuan Li, in Applied Energy (2022)
Keywords: Day-ahead market (DAM); Electricity market; Market clearing price; Reliability unit commitment (RUC);
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Day-ahead bidding strategy for electric vehicle aggregator enabling multiple agent modes in uncertain electricity markets,
Yanchong Zheng, Hang Yu, Ziyun Shao and Linni Jian, in Applied Energy (2020)
Keywords: Electric vehicles; Day-ahead bidding; Uncertain market; Multiple agent modes;
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Constraint relaxation-based day-ahead market mechanism design to promote the renewable energy accommodation,
Ziming Ma, Haiwang Zhong, Qing Xia, Chongqing Kang and Liming Jin, in Energy (2020)
Keywords: Constraint relaxation; Day-ahead market; Renewable energy curtailment; Deep ramp;
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Quantifying the effect of renewable generation on day–ahead electricity market prices: The Spanish case,
A.A. Sánchez de la Nieta and J. Contreras, in Energy Economics (2020)
Keywords: Day-ahead electricity market; Merit order; Renewable energy;
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From the East-European Regional Day-Ahead Markets to a Global Electricity Market,
Adela Bâra, Simona-Vasilica Oprea and Bogdan George Tudorică, in Computational Economics (2024)
Keywords: Black swan, Electricity price forecast, Regional day-ahead markets, ML algorithms
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Potential benefits from participating in day-ahead and regulation markets for CHPs,
Shuang Gao, Jakub Jurasz, Hailong Li, Edoardo Corsetti and Jinyue Yan, in Applied Energy (2022)
Keywords: CHP plants; Flexibility; Flue gas condensation; Frequency regulation market; Day-ahead market; Optimization;
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Strategic offering of a flexible producer in day-ahead and intraday power markets,
Tuomas Rintamäki, Afzal S. Siddiqui and Ahti Salo, in European Journal of Operational Research (2020)
Keywords: OR in energy; Day-ahead market; Intraday market; Strategic offering; Mathematical programming with equilibrium constraints;
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Three-part auctions versus self-commitment in day-ahead electricity markets,
Ramteen Sioshansi, Shmuel Oren and Richard O'Neill, in Utilities Policy (2010)
Keywords: Day-ahead electricity market Centralized market Unit commitment Self-commitment Combinatorial auction
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An improved incentive-based demand response program in day-ahead and intra-day electricity markets,
E. Shahryari, H. Shayeghi, B. Mohammadi-ivatloo and M. Moradzadeh, in Energy (2018)
Keywords: Demand response; Day-ahead market; Intra-day market; Incentive-based program;
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Optimal Bidding Strategies for Wind Power Producers in the Day-ahead Electricity Market,
Haifeng Zhang, Feng Gao, Jiang Wu, Kun Liu and Xiaolin Liu, in Energies (2012)
Keywords: wind power; bidding; day-ahead electricity market; risk; chance-constrained programming; multi-objective optimization
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Stochastic programming approach for optimal day-ahead market bidding curves of a microgrid,
Robert Herding, Emma Ross, Wayne R. Jones, Vassilis M. Charitopoulos and Lazaros G. Papageorgiou, in Applied Energy (2023)
Keywords: Mixed-integer linear programming; Stochastic programming; Optimisation under uncertainty; Microgrid; Bidding curve; Day-ahead market;
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Economic incentives for capacity reductions on interconnectors in the day-ahead market,
E. Ruben van Beesten and Daan Hulshof, in Applied Energy (2023)
Keywords: Interconnectors; Capacity reduction; Transmission system operators; Day-ahead market; Economic incentives; Welfare effects;
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The value of electricity storage arbitrage on day-ahead markets across Europe,
Thomas Mercier, Mathieu Olivier and Emmanuel De Jaeger, in Energy Economics (2023)
Keywords: Energy storage; Arbitrage; Day-ahead market; Mixed-integer linear programming; Grid fees;
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Regional Cooperation on the Energy Markets – A Study of Romania’s Day-Ahead Market,
Corbea (Florea) Alexandra Maria Ioana, Bâra Adela and Uță Adina, in Ovidius University Annals, Economic Sciences Series (2017)
Keywords: energy markets, day ahead market
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Fundamental pricing laws and long memory effects in the day-ahead power market,
Nikolaos S. Thomaidis and Pandelis N. Biskas, in Energy Economics (2021)
Keywords: Day-ahead electricity market; Interactive fixed-effects panel model; Long memory; Fractional cointegration; Panel smooth-transition regression; Fundamental power pricing;
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Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting,
Stylianos Loizidis, Georgios Konstantinidis, Spyros Theocharides, Andreas Kyprianou and George E. Georghiou, in Energies (2023)
Keywords: energy market; market conditions; production; demand; Day-Ahead forecasting; extreme learning machine; XGBoost; Random forest
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Investigating the Impact of the Greek Electricity Market Reforms on its Day-Ahead Market Prices,
Fotis Kalantzis and Kostis Sakellaris, from University Library of Munich, Germany (2012)
Keywords: Electricity Market, Greek Wholesale Market, Regulatory Reform, Day-Ahead Price, GARCH
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Impacts of market power in the day-ahead electricity market on incentive-based demand response,
Yukihide Kurakawa and Makoto Tanaka, from Research Institute for Environmental Economics and Management, Waseda University (2023)
Keywords: Incentive-based demand response, Market power, Day-ahead electricity market, Demand-side flexibility
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How to Sell Renewable Electricity - Interactions of the Intraday and Day-ahead Market under Uncertainty,
Andreas Knaut and Frank Obermüller, from Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI) (2016)
Keywords: Cournot Competition; electricity markets; day-ahead market; intraday market; competition under uncertainty
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A Robust Day-Ahead Electricity Market Clearing Model Considering Wind Power Penetration,
Hongze Li, Xuejie Wang, Fengyun Li, Yuwei Wang and Xinhua Yu, in Energies (2018)
Keywords: day-ahead electricity market; wind power uncertainty; robust market clearing; wind power curtailment
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Optimizing the marketing of flexibility for a virtual battery in day-ahead and balancing markets: A rolling horizon case study,
E. Finhold, C. Gärtner, R. Grindel, T. Heller, N. Leithäuser, E. Röger and F. Schirra, in Applied Energy (2023)
Keywords: Flexibility marketing; Day-ahead market; Balancing markets; Bidding strategies; Linear programming; Virtual battery;
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Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions,
Gong Li and Jing Shi, in Applied Energy (2012)
Keywords: Agent-based modeling; Wind power; Forecasting; Bidding strategy; Day-ahead electricity markets; Electricity markets;
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Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets,
Mousa Marzband, Andreas Sumper, Albert Ruiz-Álvarez, José Luis Domínguez-García and Bogdan Tomoiaga, in Applied Energy (2013)
Keywords: Day-ahead market; Energy management system; Local energy market; Single side auction; Microgrid;
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Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets,
Chi-Keung Woo, J. Moore, B. Schneiderman, T. Ho, A. Olson, L. Alagappan, K. Chawla, N. Toyama and Jay Zarnikau, in Energy Policy (2016)
Keywords: Electricity prices; Day-ahead market; Real-time market; Renewable energy; Merit-order effects; California;
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A bilevel programming approach to price decoupling in Pay-as-Clear markets, with application to day-ahead electricity markets,
Antonio Frangioni and Fabrizio Lacalandra, in European Journal of Operational Research (2024)
Keywords: (R) OR in energy; Day-ahead market; Bilevel programs; Mathematical programs with complementarity constraints; Agent based simulation;
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Economic Analysis of a Pumped Hydroelectric Storage-Integrated Floating PV System in the Day-Ahead Iberian Electricity Market,
Arsenio Barbón, Ángel Gutiérrez, Luis Bayón, Covadonga Bayón-Cueli and Javier Aparicio-Bermejo, in Energies (2023)
Keywords: day-ahead market; economic benefits; floating photovoltaic power plant; pumped hydroelectric power plant
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Stochastic Optimization of Microgrid Participating Day-Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response,
Huiru Zhao, Hao Lu, Bingkang Li, Xuejie Wang, Shiying Zhang and Yuwei Wang, in Energies (2020)
Keywords: stochastic optimization; microgrid operation; day-ahead market; demand response; energy storage system
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Enhanced Coordination Strategy for an Aggregator of Distributed Energy Resources Participating in the Day-Ahead Reserve Market,
Cindy Paola Guzman, Nataly Bañol Arias, John Fredy Franco, Marcos J. Rider and Rubén Romero, in Energies (2020)
Keywords: Aggregator’s coordination; day-ahead reserve market; electrical distribution system; electric vehicles; optimization; renewable distributed generation
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Day-ahead bidding strategy of cloud energy storage serving multiple heterogeneous microgrids in the electricity market,
Weiguang Chang, Wei Dong and Qiang Yang, in Applied Energy (2023)
Keywords: Cloud energy storage; Day-ahead bidding; Two energy service modes; Electricity market uncertainty;
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Economic viability of Li-ion batteries based on the price arbitrage in the European day-ahead markets,
Aleksandra Komorowska and Piotr Olczak, in Energy (2024)
Keywords: Price arbitrage; Day-ahead market; Energy storage; Li-ion batteries; European Union;
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Grid-connected energy hubs in the coordinated multi-energy management based on day-ahead market framework,
Anoosh Dini, Sasan Pirouzi, Mohammadali Norouzi and Matti Lehtonen, in Energy (2019)
Keywords: Coordinated energy management; Day-ahead market; Hub energy management; Linear model;
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Optimal bidding in a Day-Ahead energy market for Micro Grid under uncertainty in renewable energy production,
Gabriella Ferruzzi, Guido Cervone, Luca Delle Monache, Giorgio Graditi and Francesca Jacobone, in Energy (2016)
Keywords: Micro grid; Day-ahead energy market; Optimization bidding strategy; Analog ensemble; Uncertainty analysis;
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Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market,
I.L.R. Gomes, H.M.I. Pousinho, R. Melício and V.M.F. Mendes, in Energy (2017)
Keywords: Joint operation; Day-ahead market; Energy storage; PV power; Stochastic linear programming; Wind power;
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Extensions for Benders cuts and new valid inequalities for solving the European day-ahead electricity market clearing problem efficiently,
Gökhan Ceyhan, Murat Köksalan and Banu Lokman, in European Journal of Operational Research (2022)
Keywords: OR in energy; Day-ahead electricity market clearing problem; Mixed-integer linear programming; Benders decomposition;
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A regime-switching copula approach to modeling day-ahead prices in coupled electricity markets,
A. Pircalabu and F.E. Benth, in Energy Economics (2017)
Keywords: Day-ahead electricity prices; Market coupling; Copula models; Tail dependence; Financial transmission rights; Tail quantile forecasting;
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Price and Volatility Spillovers in the Electricity Reliability Council of Texas Day-Ahead Electricity Market,
Ama Agyeiwaa Abrokwah, in International Journal of Energy Economics and Policy (2018)
Keywords: Electricity Reliability Council of Texas (ERCOT), day-ahead electricity market, volatility spillovers
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Optimizing Day-Ahead Electricity Market Prices: Increasing the Total Surplus for Energy Exchange Istanbul,
Kursad Derinkuyu, Fehmi Tanrisever, Nermin Kurt and Gokhan Ceyhan, in Manufacturing & Service Operations Management (2020)
Keywords: auctions and mechanism design; day-ahead electricity market; energy-related operations; OM practice
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Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market,
Katarzyna Chec, Bartosz Uniejewski and Rafał Weron, from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology (2024)
Keywords: Electricity price forecasting; Long-term seasonal component; Day-ahead market; Combining forecasts
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A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets,
Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan, in Forecasting (2018)
Keywords: ARIMA-SVM (Support Vector Machine); ARIMA-RF (Random Forest); ARIMA-GLM (Generalized Linear Model); electricity price forecasting; Iberian market; day-ahead price
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How will local energy markets influence the pan-European day-ahead market and transmission systems? A case study for local markets in France and Germany,
Carlo Schmitt, Klemens Schumann, Katharina Kollenda, Andreas Blank, Olivier Rebenaque, Théo Dronne, Arnault Martin, Philippe Vassilopoulos, Fabien Roques and Albert Moser, in Applied Energy (2022)
Keywords: Local energy market; Energy system modeling; Day-ahead market; Transmission grid;
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Deep learning framework for day-ahead optimal charging scheduling of electric vehicles in parking lot,
Mohamad Amin Gharibi, Hamed Nafisi, Hossein Askarian-abyaneh and Amin Hajizadeh, in Applied Energy (2023)
Keywords: Deep learning; Generative adversarial network; Day-ahead market; Day-ahead scheduling; Copula transformation;
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Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices,
Katarzyna Maciejowska, Weronika Nitka and Tomasz Weron, in Energy Economics (2021)
Keywords: Renewables; Electricity prices; Day-ahead market; Intraday market; Forecasting;
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Day-Ahead Market Modeling for Strategic Wind Power Producers under Robust Market Clearing,
Huiru Zhao, Yuwei Wang, Mingrui Zhao, Qingkun Tan and Sen Guo, in Energies (2017)
Keywords: day-ahead electricity market; wind power producer; wind power uncertainty; robust market clearing; Least Squares Continuous Actor-Critic algorithm
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A Unified Trading Model Based on Robust Optimization for Day-Ahead and Real-Time Markets with Wind Power Integration,
Yuewen Jiang, Meisen Chen and Shi You, in Energies (2017)
Keywords: day-ahead market; improved quantum-behaved particle swarm algorithm (IQPSO); real-time market; robust optimization; unified trading model; wind power
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Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets,
Felix Nitsch, Marc Deissenroth-Uhrig, Christoph Schimeczek and Valentin Bertsch, in Applied Energy (2021)
Keywords: Energy system modeling; Agent-based modeling; Battery storage system; Day-ahead market; Automatic Frequency Restoration Reserves market;
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A bi-level optimization framework for the power-side virtual power plant participating in day-ahead wholesale market as a price-maker considering uncertainty,
Qunli Wu and Chunxiang Li, in Energy (2024)
Keywords: Hydrogen energy; Price-maker; Power-side virtual power plant; Day-ahead wholesale market; Uncertainty;
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On the Value of Emerging, Day-Ahead Market Related Wind-Storage Narratives in Greece: An Early Empirical Analysis,
Stefanos Tampakakis and Dimitrios Zafirakis, in Energies (2023)
Keywords: energy storage; wind energy; day-ahead markets; arbitrage; bidding strategies; wholesale electricity prices; target model; empirical analysis
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A Predictive Fuzzy Logic Model for Forecasting Electricity Day-Ahead Market Prices for Scheduling Industrial Applications,
Konstantinos Plakas, Ioannis Karampinis, Panayiotis Alefragis, Alexios Birbas, Michael Birbas and Alex Papalexopoulos, in Energies (2023)
Keywords: electricity markets; day-ahead price forecasting; random forest; long short-term memory; fuzzy architecture; energy efficiency; scheduling applications
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Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique,
Hasnain Iftikhar, Josue E. Turpo-Chaparro, Paulo Canas Rodrigues and Javier Linkolk López-Gonzales, in Energies (2023)
Keywords: Italian electricity market; day-ahead electricity prices forecasting; nonparametric regression methods; times series models; decomposition–combination technique
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Pricing Energy and Ancillary Services in a Day-Ahead Market for a Price-Taker Hydro Generating Company Using a Risk-Constrained Approach,
Perica Ilak, Slavko Krajcar, Ivan Rajšl and Marko Delimar, in Energies (2014)
Keywords: hydropower plant; opportunity cost; water shadow price; day-ahead market; risk-aversion; conditional value at risk; ancillary services
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Day-ahead bidding strategy of regional integrated energy systems considering multiple uncertainties in electricity markets,
Yubin Wang, Yanchong Zheng and Qiang Yang, in Applied Energy (2023)
Keywords: Integrated energy system; Uncertainties; Electricity market; Day-ahead bidding; Scenario-based stochastic and chance-constrained programming; Renewable distributed energy resources;
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A hybrid robust-stochastic approach for strategic scheduling of a multi-energy system as a price-maker player in day-ahead wholesale market,
Nima Nasiri, Saeed Zeynali, Sajad Najafi Ravadanegh and Mousa Marzband, in Energy (2021)
Keywords: Multi-energy systems; Hydrogen energy storage; Demand response programming; Price-maker player; Bi-level optimization; Day-ahead wholesale market;
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Bilateral bidding strategy in joint day-ahead energy and reserve electricity markets considering techno-economic-environmental measures,
Mojtaba Shivaie, Mohammad Kiani-Moghaddam and Philip D Weinsier, in Energy & Environment (2022)
Keywords: Bilateral bidding strategy; day-ahead energy and reserve electricity market; distribution companies (DisCos); generation companies (GenCos); techno-economic-environmental measures
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Strategic Commitment to a Production Schedule with Uncertain Supply and Demand: Renewable Energy in Day-Ahead Electricity Markets,
Nur Sunar and John Birge, in Management Science (2019)
Keywords: renewable energy; supply uncertainty; supply function equilibrium; day-ahead electricity market; reliability; demand uncertainty; production schedule; production quantity; penalty; subsidy
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Reformulation of U.S. Day-Ahead Wholesale Power Markets for Improved Intertermporal Operations,
Leigh Tesfatsion and Dionysios Aliprantis, from Iowa State University, Department of Economics (2012)
Keywords: Day-ahead market; economic dispatch; electrical energy; financial contracts; Forecasting; forward planning; unit commitment; virtual demand bid; virtual supply offer
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Techno-economical optimization of wind power production including lithium and/or hydrogen sizing in the context of the day ahead market in island grids,
David Hernández-Torres, Christophe Turpin, Xavier Roboam and Bruno Sareni, in Mathematics and Computers in Simulation (MATCOM) (2019)
Keywords: Wind power; Optimal storage sizing; Day-ahead markets; Island networks;
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Enhancing load, wind and solar generation forecasts in day-ahead forecasting of spot and intraday electricity prices,
Katarzyna Maciejowska, Weronika Nitka and Tomasz Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (2019)
Keywords: Renewables; Electricity prices; Day-ahead market; Intraday market; Forecasting
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How are Day-ahead Prices Informative for Predicting the Next Day’s Consumption of Natural Gas? Evidence from France,
Arthur Thomas, Olivier Massol and Benoît Sévi, in The Energy Journal (2022)
Keywords: Natural gas markets; Day-ahead prices; Load forecasting
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Day-ahead energy market as adjustable robust optimization: Spatio-temporal pricing of dispatchable generators, storage batteries, and uncertain renewable resources,
Takayuki Ishizaki, Masakazu Koike, Nobuyuki Yamaguchi, Yuzuru Ueda and Jun-ichi Imura, in Energy Economics (2020)
Keywords: Day-ahead energy markets; Adjustable robust optimization; Spatio-temporal pricing; Distributed energy resources; Uncertainty of renewable energy resources; Convex analysis;
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Application of a Gradient Descent Continuous Actor-Critic Algorithm for Double-Side Day-Ahead Electricity Market Modeling,
Huiru Zhao, Yuwei Wang, Sen Guo, Mingrui Zhao and Chao Zhang, in Energies (2016)
Keywords: bidding strategy; double-side day-ahead electricity market; gradient descent continuous Actor-Critic (GDCAC) algorithm; reinforcement learning; market clearing price ( MCP )
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Risk-controlled economic performance of compressed air energy storage and wind generation in day-ahead, intraday and balancing markets,
Thanaporn Sriyakul and Kittisak Jermsittiparsert, in Renewable Energy (2021)
Keywords: Commercial compressed air energy storage (CCAES); Wind generation; Power aggregator (PA); Downside risk constraints approach (DRCA); Day-ahead (DA) and intraday (IN) and balancing (BL) markets;
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Has Real Time Spot Electricity Market in India Impacted Day-Ahead Spot Electricity Market?,
Rashmita Saran, Bharath Supra, G. P. Girish and Sweta Singh, in International Journal of Energy Economics and Policy (2024)
Keywords: Electricity Market, Spot Electricity, Real Time Market, India, Day Ahead Market
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Reducing balancing cost of a wind power plant by deep learning in market data: A case study for Turkey,
Ali Dinler, in Applied Energy (2021)
Keywords: Wind energy; Balancing cost; Day-ahead market;
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A MIP framework for non-convex uniform price day-ahead electricity auctions,
M. Madani and M. Van Vyve, from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) (2015)
Keywords: Day-ahead electricity market auctions, Non-convexities, Mixed Integer Pro- gramming, Market Coupling, Equilibrium Prices
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A MIP framework for non-convex uniform price day-ahead electricity auctions,
Mehdi Madani and Mathieu Van Vyve, in EURO Journal on Computational Optimization (2017)
Keywords: Day-ahead electricity market auctions, Non-convexities, Mixed integer programming, Market coupling, Equilibrium prices
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PCA forecast averaging - predicting day-ahead and intraday electricity prices,
Katarzyna Maciejowska, Bartosz Uniejewski and Tomasz Serafin, from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology (2020)
Keywords: Electricity price forecasting; Day-ahead market; Intraday market; Forecast averaging; Principal component analysis; Decision-making
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PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices,
Katarzyna Maciejowska, Bartosz Uniejewski and Tomasz Serafin, in Energies (2020)
Keywords: electricity price forecasting; EPF; day-ahead market; intraday market; forecast averaging; principal component analysis; decision-making
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Long-termed investment planning model for a generation company operating in both bilateral contract and day-ahead markets,
Berna Tektas Sivrikaya and Ferhan Cebi, in International Journal of Information and Decision Sciences (2016)
Keywords: generation capacity expansion planning; long-term investments; investment planning; mixed-integer linear programming; MILP; hybrid electricity markets; bilateral contracts markets; day-ahead markets; carbon tax; carbon dioxide; CO2; carbon emissions cap; modelling; uncertainties; electricity prices; fuel costs; environmental regulations; budgets.
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting,
Jakub Nowotarski and Rafał Weron, in Energy Economics (2016)
Keywords: Electricity spot price; Forecasting; Day-ahead market; Long-term seasonal component;
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Modelling electricity day–ahead prices by multivariate Lévy semistationary processes,
Almut Veraart and Luitgard Veraart, from Department of Economics and Business Economics, Aarhus University (2012)
Keywords: Electricity market, day–ahead prices, multivariate Lévy semistationary process, stochastic volatility, correlation, panel structure.
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Automated variable selection and shrinkage for day-ahead electricity price forecasting,
Bartosz Uniejewski, Jakub Nowotarski and Rafał Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (2016)
Keywords: Electricity price forecasting; Day-ahead market; Autoregression; Variable selection; Stepwise regression; Ridge regression; Lasso; Elastic net
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Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting,
Bartosz Uniejewski, Jakub Nowotarski and Rafał Weron, in Energies (2016)
Keywords: electricity price forecasting; day-ahead market; autoregression; variable selection; stepwise regression; ridge regression; lasso; elastic net
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting,
Jakub Nowotarski and Rafał Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (2016)
Keywords: Electricity spot price; Forecasting; Day-ahead market; Long-term seasonal component
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Electricity Price Forecasting in the Danish Day-Ahead Market Using the TBATS, ANN and ARIMA Methods,
Orhan Altuğ Karabiber and George Xydis, in Energies (2019)
Keywords: electricity price forecasting; day ahead market; forecast combination; ARIMA; neural network
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Electric vehicles load forecasting for day-ahead market participation using machine and deep learning methods,
Zafeirios N. Bampos, Vasilis M. Laitsos, Konstantinos D. Afentoulis, Stylianos I. Vagropoulos and Pantelis N. Biskas, in Applied Energy (2024)
Keywords: Day ahead market; Deep learning; Electric vehicles; Electric vehicle aggregator; Electricity supplier; Electric vehicles load curve; Forecasting; Machine learning;
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The Impact of the Regional Electricity Market’s Coupling on the Romanian Day Ahead Market Prices,
Andrei Covatariu and Cosmin Dobrin, in Ovidius University Annals, Economic Sciences Series (2016)
Keywords: energy market, coupling mechanism, Romania, day ahead market
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Heuristic Retailer’s Day-Ahead Pricing Based on Online-Learning of Prosumer’s Optimal Energy Management Model,
Mohammad Hossein Nejati Amiri, Mehdi Mehdinejad, Amin Mohammadpour Shotorbani and Heidarali Shayanfar, in Energies (2023)
Keywords: retail day-ahead market; online-learning; privacy preserved method; prosumer; demand response; optimal pricing
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Day-ahead electricity price forecasting via the application of artificial neural network based models,
Ioannis P. Panapakidis and Athanasios S. Dagoumas, in Applied Energy (2016)
Keywords: Artificial neural networks; Electricity price forecasting; Day-ahead market; Time-series clustering;
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Inexact stochastic risk-aversion optimal day-ahead dispatch model for electricity system management with wind power under uncertainty,
Ling Ji, Guo-He Huang, Lu-Cheng Huang, Yu-Lei Xie and Dong-Xiao Niu, in Energy (2016)
Keywords: Day-ahead market; Bidding strategy; Uncertainty; Stochastic robust programming; Wind power generation;
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Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks,
Florian Ziel and Rafał Weron, in Energy Economics (2018)
Keywords: Electricity price forecasting; Day-ahead market; Univariate modeling; Multivariate modeling; Forecast combination; Regression; Variable selection; Lasso;
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Strategic bidding via the interplay of minimum income condition orders in day-ahead power exchanges,
Dávid Csercsik, in Energy Economics (2021)
Keywords: Day-ahead electricity markets; Minimum income condition orders; Complex orders; Incentive compatibility; Strategic bidding;
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From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting,
Oliver Grothe, Fabian Kächele and Fabian Krüger, in Energy Economics (2023)
Keywords: Electricity price forecasting; Probabilistic forecast; Multivariate forecasting; Copulas; Day-ahead market; Forecast evaluation;
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Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution,
Lennard Visser, Tarek AlSkaif and Wilfried van Sark, in Renewable Energy (2022)
Keywords: Solar forecast; Photovoltaics; Regional solar forecasting; Machine learning; LSTM; Day-ahead markets; PV aggregation;
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Loss functions in regression models: Impact on profits and risk in day-ahead electricity trading,
Tomasz Serafin and Rafał Weron, from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology (2024)
Keywords: Electricity price forecast; Day-ahead market; Loss function; Trading strategy; Battery storage; Sharpe ratio
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Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models,
Grzegorz Marcjasz, Bartosz Uniejewski and Rafał Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (2017)
Keywords: Electricity spot price; Forecasting; Day-ahead market; Long-term seasonal component; Neural network; Committee machine
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks,
Grzegorz Marcjasz, Bartosz Uniejewski and Rafał Weron, in International Journal of Forecasting (2019)
Keywords: Electricity spot price; Forecasting; Day-ahead market; Long-term seasonal component; NARX neural network; Committee machine;
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Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate models,
Florian Ziel and Rafał Weron, from Hugo Steinhaus Center, Wroclaw University of Science and Technology (2016)
Keywords: Electricity price forecasting; Day-ahead market; Univariate model; Multivariate model; Regression; Variable selection; Lasso
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Modelling day-ahead electricity prices,
Juri Hinz, in Applied Mathematical Finance (2003)
Keywords: day-ahead electricity prices, equilibrium pricing,
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Day-Ahead Market Modelling of Large-Scale Highly-Renewable Multi-Energy Systems: Analysis of the North Sea Region towards 2050,
Juan Gea-Bermúdez, Kaushik Das, Hardi Koduvere and Matti Juhani Koivisto, in Energies (2020)
Keywords: energy system; large scale; day ahead market; operational planning; unit commitment
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Measuring the impact of market coupling on the Italian electricity market,
Elisabetta Pellini, in Energy Policy (2012)
Keywords: Market coupling; Market integration; Italian day-ahead electricity market;
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Forecasting day-ahead price of electricity - a dynamic regression approach,
Amitava Bandyopadhayay, Soumya Roy and Dipojjwal Ghosh, in International Journal of Business Excellence (2013)
Keywords: deregulated markets; day-ahead prices; price forecasting; multiple linear regression; MLR; ARIMA; dynamic regression; electricity prices; modelling; clustering.
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