Medium-Term Regional Electricity Load Forecasting through Machine Learning and Deep Learning

Medium-Term Regional Electricity Load Forecasting through Machine Learning and Deep Learning

Due to severe climate change impact on electricity consumption, as well as new trends in smart grids (such as the use of renewable resources and the advent of prosumers and energy commons), medium-term and long-term electricity load forecasting has become a crucial need. Such forecasts are necessary...

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Bibliographic Details
Main Authors: Navid Shirzadi, Ameer Nizami, Mohammadali Khazen, Mazdak Nik-Bakht
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Designs
Subjects:
electricity load prediction
power grids
smart grids
recurrent neural networks (RNN)
random forest
support vector machine (SVM) long short term memory (LSTM)
Online Access:https://www.mdpi.com/2411-9660/5/2/27

Internet

https://www.mdpi.com/2411-9660/5/2/27

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