Two-stage electricity production scheduling with energy storage and dynamic emission modelling
Author:
Affiliation:
1. College of Management, Shenzhen University, Shenzhen, People’s Republic of China
2. College of Architecture and Urban Planning, Shenzhen University, Shenzhen, People’s Republic of China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Shenzhen Science and Technology Program
NTUT-SZU Joint Research Program
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2280186
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1. Solar photovoltaic energy optimization methods, challenges and issues: A comprehensive review
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4. Industrial processes and the smart grid: overcoming the variability of renewables by using built-in process storage and intelligent control strategies
5. Peak shaving benefit assessment considering the joint operation of nuclear and battery energy storage power stations: Hainan case study
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