Dynamic Pricing in Smart Grids Under Thresholding Policies
Author:
Funder
MI-MIT Flagship
National Foundation for Science and Technology Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/8694132/08336906.pdf?arnumber=8336906
Cited by 13 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. Methods and attributes for customer-centric dynamic electricity tariff design: A review;Renewable and Sustainable Energy Reviews;2024-03
2. Customized Rebate Pricing Mechanism for Virtual Power Plants Using a Hierarchical Game and Reinforcement Learning Approach;IEEE Transactions on Smart Grid;2023-01
3. Development of Dynamic Pricing Algorithm in a Smart Grid;Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Mechanical and Electrical);2022-12-22
4. Artificial intelligence-enabled probabilistic load demand scheduling with dynamic pricing involving renewable resource;Energy Reports;2022-11
5. Forecasting an electricity demand threshold to proactively trigger cost saving demand response actions;Energy and Buildings;2022-08
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