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Short-term wind power prediction based on extreme learning machine with error correction
2016
Protection and Control of Modern Power Systems
Large-scale integration of wind generation brings great challenges to the secure operation of the power systems due to the intermittence nature of wind. The fluctuation of the wind generation has a great impact on the unit commitment. Thus accurate wind power forecasting plays a key role in dealing with the challenges of power system operation under uncertainties in an economical and technical way. Methods: In this paper, a combined approach based on Extreme Learning Machine (ELM) and an error
doi:10.1186/s41601-016-0016-y
fatcat:slubwtkdlzdjjnd67x3bdfebyy