Deep learning for day‐ahead electricity price forecasting
Author:
Affiliation:
1. Department of Electronic and Electrical EngineeringUniversity of BathBathBA2 7AYUK
2. Enflame CompanyNo.61 Shengxia Road, Pudong DistrictShanghaiPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-stg.2019.0258
Reference28 articles.
1. Day-Ahead Deregulated Electricity Market Price Forecasting Using Recurrent Neural Network
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3. Forecasting energy prices in a competitive market
4. YongF.ZuyiL.: ‘Different models and properties on LMP calculations’.2006 IEEE Power Engineering Society General Meeting Montreal Canada 2006 p. 11pp
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