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

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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Bibliografski detalji
Glavni autori: Ivana Kiprijanovska, Simon Stankoski, Igor Ilievski, Slobodan Jovanovski, Matjaž Gams, Hristijan Gjoreski
Format: Članak
Jezik:English
Izdano: MDPI AG 2020-05-01
Serija:Energies
Teme:
short-term load forecasting
day ahead
feature extraction
deep residual neural network
multiple sources
electricity
Online pristup:https://www.mdpi.com/1996-1073/13/10/2672

Internet

https://www.mdpi.com/1996-1073/13/10/2672

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