Optimal energy dispatch in residential community with renewable DGs and storage in the presence of real-time pricing-Reference-Cited by-同舟云学术

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Optimal energy dispatch in residential community with renewable DGs and storage in the presence of real-time pricing

Published:2019 Issue: Volume: Page:447-465
ISSN:
Container-title:Smart Power Distribution Systems
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Author:

Yang Qiang,Ehsan Ali,Jiang Le,Fang Xinli

Publisher

Elsevier

Reference17 articles.

1. Autonomous appliance scheduling for household energy management;Adika;IEEE Trans. Smart Grid,2014

2. Application of weather forecast in conjunction with price-based method for PCM solar passive buildings – an experimental study;Barzin;Appl. Energy,2016

3. A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources;Bhandari;Appl. Energy,2014

4. Short-term smart learning electrical load prediction algorithm for home energy management systems;EI-Baz;Appl. Energy,2015

5. Electricity Price and Demand. n.d. AEMO [Online]. Available from: http://www.aemo.com.au/Electricity/Data/Price-and-Demand

Cited by 2 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. A Prosumer-Oriented, Interoperable, Modular and Secure Smart Home Energy Management System Architecture;Smart Cities;2022-08-24

2. Supervised learning‐based demand response simulator with incorporation of real time pricing and peak time rebate;International Transactions on Electrical Energy Systems;2021-12

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