Nothing Special   »   [go: up one dir, main page]

Wu et al., 2018 - Google Patents

Short-term wind power generation forecasting based on the SVM-GM approach

Wu et al., 2018

Document ID
14382248416059796883
Author
Wu D
Gao C
Publication year
Publication venue
Electric Power Components and Systems

External Links

Snippet

Short-term wind power generation forecasting plays an important role in power generation as it prevents the power system operation from uncertain and intermittent nature. This article proposes a novel hybrid method comprising the support vector machine and gray model …
Continue reading at www.tandfonline.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0639Performance analysis
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202Market predictions or demand forecasting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

Similar Documents

Publication Publication Date Title
Zhao et al. Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system
Jeon et al. Using conditional kernel density estimation for wind power density forecasting
Boran Forecasting natural gas consumption in Turkey using grey prediction
Teimourian et al. Assessment of wind energy potential in the southeastern province of Iran
Genc et al. Estimation of wind power potential using Weibull distribution
Brown et al. Kernel regression for real-time building energy analysis
Huang et al. Short‐term wind power forecasting and uncertainty analysis using a hybrid intelligent method
Vinothkumar et al. Distributed generation planning: A new approach based on goal programming
Ayvaz et al. Electricity consumption forecasting for Turkey with nonhomogeneous discrete grey model
Zheng et al. Projection of future global offshore wind energy resources using CMIP data
Bamisile et al. Application of deep learning for solar irradiance and solar photovoltaic multi-parameter forecast
Messac et al. Characterizing and mitigating the wind resource-based uncertainty in farm performance
Üstün et al. A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS
Asumadu-Sarkodie et al. Forecasting Nigeria’s energy use by 2030, an econometric approach
Chen et al. Multistep wind speed forecasting based on wavelet and gaussian processes
Wu et al. Short-term wind power generation forecasting based on the SVM-GM approach
Singla et al. An integrated framework of robust local mean decomposition and bidirectional long short-term memory to forecast solar irradiance
Wan et al. Probabilistic wind power forecasting with hybrid artificial neural networks
Yildiz et al. A kernel extreme learning machine-based neural network to forecast very short-term power output of an on-grid photovoltaic power plant
Bakhashwain Prediction of global solar radiation using support vector machines
Niu et al. Short‐term wind speed hybrid forecasting model based on bias correcting study and its application
Hanoon et al. Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source
Routray et al. Applied machine learning in wind speed prediction and loss minimization in unbalanced radial distribution system
Pathak et al. Comparative assessment of regression techniques for wind power forecasting
Fang et al. A novel application of artificial neural network for wind speed estimation