02331nam 2200373 450 991067404720332120230623042429.0(CKB)4100000011302139(NjHacI)994100000011302139(EXLCZ)99410000001130213920230623d2020 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierEnsemble Forecasting Applied to Power Systems /Antonio Bracale, Pasquale De Falco. editor[Place of publication not identified] :MDPI - Multidisciplinary Digital Publishing,2020.1 online resource (134 pages)3-03928-312-X 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 managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.ForecastingMethodologyForecastingStudy and teachingForecastingMethodology.ForecastingStudy and teaching.303.49De Falco PasqualeBracale AntonioNjHacINjHaclBOOK9910674047203321Ensemble Forecasting Applied to Power Systems3059533UNINA