HousEEC: Day-Ahead Household Electrical Energy Consumption Forecasting Using Deep Learning

Short-term load forecasting is integral to the energy planning sector. Various techniques have been employed to achieve effective operation of power systems and efficient market management. We present a scalable system for day-ahead household electrical energy consumption forecasting, named HousEEC....

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Principais autores:	Ivana Kiprijanovska, Simon Stankoski, Igor Ilievski, Slobodan Jovanovski, Matjaž Gams, Hristijan Gjoreski
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2020-05-01
סדרה:	Energies
נושאים:	short-term load forecasting day ahead feature extraction deep residual neural network multiple sources electricity
גישה מקוונת:	https://www.mdpi.com/1996-1073/13/10/2672
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!