A Deep Learning Approach to Forecasting Monthly Demand for Residential–Sector Electricity

A Deep Learning Approach to Forecasting Monthly Demand for Residential–Sector Electricity

Forecasting electricity demand at the regional or national level is a key procedural element of power-system planning. However, achieving such objectives in the residential sector, the primary driver of peak demand, is challenging given this sector’s pattern of constantly fluctuating and gradually i...

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Bibliographic Details
Main Authors:	Hyojoo Son, Changwan Kim
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Series:	Sustainability
Subjects:	deep learning monthly electricity demand forecasting long short-term memory (LSTM) residential sector
Online Access:	https://www.mdpi.com/2071-1050/12/8/3103

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