Accurate Deep Model for Electricity Consumption Forecasting Using Multi-Channel and Multi-Scale Feature Fusion CNN–LSTM

Accurate Deep Model for Electricity Consumption Forecasting Using Multi-Channel and Multi-Scale Feature Fusion CNN–LSTM

Electricity consumption forecasting is a vital task for smart grid building regarding the supply and demand of electric power. Many pieces of research focused on the factors of weather, holidays, and temperatures for electricity forecasting that requires to collect those data by using kinds of senso...

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Bibliographic Details
Main Authors:	Xiaorui Shao, Chang-Soo Kim, Palash Sontakke
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Series:	Energies
Subjects:	smart grid electricity forecasting CNN–LSTM very short-term forecasting (VSTF) short-term forecasting (STF) medium-term forecasting (MTF)
Online Access:	https://www.mdpi.com/1996-1073/13/8/1881

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