Artificial intelligence-enabled probabilistic load demand scheduling with dynamic pricing involving renewable resource

Artificial intelligence-enabled probabilistic load demand scheduling with dynamic pricing involving renewable resource

Residential demand response is one of the key enabling technologies which plays an important role in managing the load demand of prosumers. However, the load scheduling problem becomes quite challenging due to the involvement of dynamic parameters and renewable energy resources. This work has propos...

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Bibliographic Details
Main Authors: Muhammad Babar Rasheed, María D. R-Moreno, Kelum A.A. Gamage
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Demand response
Load scheduling
Optimal stopping theory
Renewable energy
Machine Learning
Genetic Algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722019527

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