Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid

Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid

The increasing load demand in residential area and irregular electricity load profile encouraged us to propose an efficient Home Energy Management System (HEMS) for optimal scheduling of home appliances. We propose a multi-objective optimization based solution that shifts the electricity load from O...

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Bibliographic Details
Main Authors: Zahoor Ali Khan, Adia Khalid, Nadeem Javaid, Abdul Haseeb, Tanzila Saba, Muhammad Shafiq
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Coordination
dynamic programming
knapsack
multi-objective optimization
Pareto front
meta-heuristic
Online Access:https://ieeexplore.ieee.org/document/8845584/

Internet

https://ieeexplore.ieee.org/document/8845584/

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