Ensemble Forecasting Applied to Power Systems

Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managi...

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Bibliographic Details
Main Author:	Bracale, Antonio (auth)
Other Authors:	Falco, Pasquale De (auth)
Format:	Book Chapter
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:	forecast combination solar energy electricity price forecasting calibration window heuristic algorithm deep learning electric load forecasting smart grids hierarchical load forecasting predictive distribution solar PV solar farm microgrid energy management lower and upper bound estimation solar power prediction interval prediction kernel density estimation average probability forecast probabilistic forecasting forecasting distributed energy resources photovoltaic power conditional predictive ability clearness index Fourier series combining forecasts weather station combination distributed generation clear sky index extreme learning machine ensemble methods pinball score autoregression
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Ensemble Forecasting Applied to Power Systems

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