Informatics Solutions for Smart Trading on Wholesale Electricity Markets Containing RES Bidders
Authors: 
Adela Bara, Simona Vasilica Oprea, Adina Uta, Osman Bulent Tor, Mahmut Erkut CebeciAuthors Info & Claims
Pages 219 - 225
Abstract
This paper presents an informatics solution that aims to assist energy suppliers in setting up their bids on wholesale electricity markets. The solution is developed into a cloud computing platform as an online dashboard, including the following components: consumption optimization and forecasting, generation forecasting, advanced data analytics, and decision rules. These components require a complex data integration model that gathers data from different sources such as: smart meters and appliances, SCADA systems and wholesale electricity market.
References
[1]
Directive 2008/28/EC of the European Parliament and of the Council of 11 March 2008 amending Directive 2005/32/EC establishing a framework for the setting of eco-design requirements for energy-using products, as well as Council Directive 92/42/EEC and Directives 96/57/EC and 2000/55/EC, as regards the implementing powers conferred on the Commission;
[2]
Romanian Government HG 1069/05.09.2007 regarding the approval of Romania's energy strategy for 2007-2020;
[3]
L. Landberg, G. Giebel, H.Aa. Nielsen, T.S. Nielsen, H. Madsen - Short-term prediction - An overview, Wind Energy 6(3), pp.273--280, 2003;
[4]
X. Wang, P. Guo, X. Huang. - A Review of Wind Power Forecasting Models, Energy Procedia, Volume 12, 2011, pp. 770--778;
[5]
ANRE Order nr. 25/2004 Comercial Code, 2004;
[6]
I.Lungu, A.Bâra, G. Căruţaşu, A. Pîrjan, S.V. Oprea - Prediction intelligent system in the field of renewable energies through neural networks, Economic Computation and Economic Cybernetics Studies and Research, no. 1/2016, ISSN 0424-267X;
[7]
S.V. Oprea - Informatics solutions for electricity consumption optimization, 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI 2015), 19-21 November 2015, Budapest, Hungary;
[8]
S.V. Oprea, A. Bâra, G. Carutasu, A. Pirjan - Prosumers' Renewable Small-Size Generation Forecasting Analyses With ARIMA Models, ECAI 2016 - International Conference -- 8th Edition Electronics, Computers and Artificial Intelligence, 30 June -02 July, 2016, Ploiesti, ROMÂNIA;
[9]
ANRE Order no 145/2014 regarding smart metering implementation;
[10]
http://switchon.vic.gov.au/get-the-best-deal/compare-offers-with-victorian-energy-compare/how-to-download-an-electricity-usage-file-from-your-provider, {accessed in April 2016};
[11]
http://www.aemo.com.au/Electricity/Retail-and-Metering/Metering-Services/Meter-Data-File-Format, {accessed in March 2016};
Recommendations
Implications of customer value perceptions for the design of electricity efficiency services in times of smart metering
Smart meters are the backbone of modern electricity metering and an important enabler of reaching energy efficiency targets. The implementation of new metering infrastructure is, however, making little progress and is often focused on technical aspects ...
Autonomous trading in modern electricity markets
The smart grid is envisioned to be a main enabler of sustainable, clean, efficient, reliable, and secure energy supply (U.S. Department of Energy, 2003). One of the milestones in the smart grid vision will be programs for customer participation in ...
Hierarchical dispatch using two-stage optimisation for electricity markets in smart grid
This paper proposes a hierarchical dispatch method for the electricity markets consisting of wholesale markets and retail markets. In the wholesale markets, the generators and the retailers decide the generation and the purchase according to the market-...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Copyright © 2017 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
In-Cooperation
- UORB: University of Ruse, Bulgaria
- TECHUVB: Technical University of Varna, Bulgaria
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 June 2017
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
CompSysTech'17
CompSysTech'17: 18th International Conference on Computer Systems and Technologies
June 23 - 24, 2017
Ruse, Bulgaria
Acceptance Rates
CompSysTech '17 Paper Acceptance Rate 42 of 107 submissions, 39%;
Overall Acceptance Rate 241 of 492 submissions, 49%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 43Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 29 Sep 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in