DSM pricing method based on A3C and LSTM under cloud-edge environment-Reference-Cited by-同舟云学术

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DSM pricing method based on A3C and LSTM under cloud-edge environment

Published:2022-06 Issue: Volume:315 Page:118853
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Sun Fangyuan,Kong Xiangyu,Wu Jianzhong,Gao Bixuan,Chen Ke,Lu Ning

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference35 articles.

1. Forecasting the price-response of a pool of buildings via homothetic inverse optimization;Fernández-Blanco;Appl Energy,2021

2. Heydar Chamandoust, Ghasem Derakhshan, Seyed Mehdi Hakimi, and Salah Bahramarab ‘Tri-objective optimal scheduling of smart energy hub system with schedulable loads’, Journal of Cleaner Production, vol. 236, no. 117584, Nov. 2019.

3. Hierarchical Optimal Scheduling Method of Heat-Electricity Integrated Energy System Based on Power Internet of Things;Kong;Energy,2020

4. A fog-based internet of energy architecture for transactive energy management systems;Yaghmaee Moghaddam;IEEE Internet Things J.,2018

5. Data center holistic demand response algorithm to smooth microgrid tie-line power fluctuation;Yang;Appl Energy,2018

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