Day-Ahead Short-Term Load Forecasting for Holidays Based on Modification of Similar Days’ Load Profiles

Short-term load forecasting (STLF) is necessary for system operators; however, its difficulty has been increasing since distributed resources, particularly behind-the-meter (BTM) PV resources, have been introduced to power systems. This study proposes a framework for STLF for holidays considering th...

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Главные авторы:	Jihoo Son, Jiwon Cha, Hyunsu Kim, Young-Min Wi
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2022-01-01
Серии:	IEEE Access
Предметы:	BTM PV resources genetic algorithm holiday load forecasting short-term load forecasting weather sensitivity
Online-ссылка:	https://ieeexplore.ieee.org/document/9709300/
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