An Innovative Optimization Strategy for Efficient Energy Management With Day-Ahead Demand Response Signal and Energy Consumption Forecasting in Smart Grid Using Artificial Neural Network

An Innovative Optimization Strategy for Efficient Energy Management With Day-Ahead Demand Response Signal and Energy Consumption Forecasting in Smart Grid Using Artificial Neural Network

In this study, a novel framework is proposed for efficient energy management of residential buildings to reduce the electricity bill, alleviate peak-to-average ratio (PAR), and acquire the desired trade-off between the electricity bill and user-discomfort in the smart grid. The proposed framework is...

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Bibliographic Details
Main Authors: Ghulam Hafeez, Khurram Saleem Alimgeer, Zahid Wadud, Imran Khan, Muhammad Usman, Abdul Baseer Qazi, Farrukh Aslam Khan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Advanced metering infrastructure
artificial neural networks
demand response
energy management
grey wolf modified enhanced differential evolution algorithm
smart grid
Online Access:https://ieeexplore.ieee.org/document/9075174/

Internet

https://ieeexplore.ieee.org/document/9075174/

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