Towards Modified Entropy Mutual Information Feature Selection to Forecast Medium-Term Load Using a Deep Learning Model in Smart Homes

Towards Modified Entropy Mutual Information Feature Selection to Forecast Medium-Term Load Using a Deep Learning Model in Smart Homes

Over the last decades, load forecasting is used by power companies to balance energy demand and supply. Among the several load forecasting methods, medium-term load forecasting is necessary for grid’s maintenance planning, settings of electricity prices, and harmonizing energy sharing arra...

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Bibliographic Details
Main Authors: Omaji Samuel, Fahad A. Alzahrani, Raja Jalees Ul Hussen Khan, Hassan Farooq, Muhammad Shafiq, Muhammad Khalil Afzal, Nadeem Javaid
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Entropy
Subjects:
big data analytics
conditional restricted boltzmann machine
clustering analysis
dynamic behavior
jaya algorithm
medium-term load forecasting
Online Access:https://www.mdpi.com/1099-4300/22/1/68

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