Profit maximization for an electricity retailer using a novel customers’ behavior leaning in a smart grid environment

Profit maximization for an electricity retailer using a novel customers’ behavior leaning in a smart grid environment

With the establishment of the smart grids platform, demand response (DR) programs have improved the operation and reliability of the power grid by increasing the participation of customers. This article investigates the issue of bidding strategy for an electricity retailer, which interacts with a se...

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Bibliographic Details
Main Authors: Hossein Taherian, Mohammad Reza Aghaebrahimi, Luis Baringo
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Analytic hierarchy process
Bidding strategy
Customers’ behavior learning
Deep learning
Power market
Smart grids
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722010496

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http://www.sciencedirect.com/science/article/pii/S2352484722010496

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