Data-driven online interactive bidding strategy for demand response-Reference-Cited by-同舟云学术

Data-driven online interactive bidding strategy for demand response

Published:2022-08 Issue: Volume:319 Page:119082
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Lee Kuan-Cheng,Yang Hong-Tzer,Tang Wenjun^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

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

Reference38 articles.

1. Evaluation of the maximum allowable generation capacity after offshore wind farms are integrated into the existing taipower system-A case study in Taiwan;Lu,2018

2. A review of architectures and concepts for intelligence in future electric energy systems;Strasser;IEEE Trans Ind Electron,2014

3. Comprehensive review of the recent advances in industrial and commercial DR;Shafie-khah;IEEE Trans Ind Inf,2019

4. Optimal supply and demand bidding strategy for an aggregator of small prosumers;Iria;Appl Energy,2018

5. Demand-side flexibility and demand-side bidding for flexible loads in air-conditioned buildings;Utama;Appl Energy,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of virtual power plant operations: Resource coordination and multidimensional interaction;Applied Energy;2024-03

2. Unveiling bidding uncertainties in electricity markets: A Bayesian deep learning framework based on accurate variational inference;Energy;2023-08

3. Offline Reinforcement Learning for Price-Based Demand Response Program Design;2023 57th Annual Conference on Information Sciences and Systems (CISS);2023-03-22

4. Bi-Level Approach for Flexibility Provision by Prosumers in Distribution Networks;IEEE Transactions on Industry Applications;2023