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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Bibliographic Details
Main Authors: Ivana Kiprijanovska, Simon Stankoski, Igor Ilievski, Slobodan Jovanovski, Matjaž Gams, Hristijan Gjoreski
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
short-term load forecasting
day ahead
feature extraction
deep residual neural network
multiple sources
electricity
Online Access:https://www.mdpi.com/1996-1073/13/10/2672

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

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