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....

Whakaahuatanga katoa

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Ivana Kiprijanovska, Simon Stankoski, Igor Ilievski, Slobodan Jovanovski, Matjaž Gams, Hristijan Gjoreski
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2020-05-01
Rangatū:	Energies
Ngā marau:	short-term load forecasting day ahead feature extraction deep residual neural network multiple sources electricity
Urunga tuihono:	https://www.mdpi.com/1996-1073/13/10/2672
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

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

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