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23 May 2023 Electricity retail market package decision model based on electricity consumption characteristics
HongPeng Qi, Rong Zheng, Zhe Lin, YunWang Hu, FeiFei Zhou, JianZhao Li, Hui Zhao
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Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126040E (2023) https://doi.org/10.1117/12.2674540
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
Abstract
This paper starts from the purpose of assisting electricity market entities to make better decisions, providing guidance for the design and selection of retail packages, improving market efficiency, and guiding the healthy development of the market, and considering the future development trend of the electricity retail market, designs an optimal package decision model under the background of competitive electricity retail market. The model can be based on retail customers' electricity consumption information and risk preference analysis and select the optimal retail package that meets their needs from the retail package library. Finally, an example is used to illustrate the package decision-making process that considers the consistency of the customers' power consumption curve and the time-of-use electricity price and considers the market transaction needs of different customers in the electricity retail market.
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HongPeng Qi, Rong Zheng, Zhe Lin, YunWang Hu, FeiFei Zhou, JianZhao Li, and Hui Zhao "Electricity retail market package decision model based on electricity consumption characteristics", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126040E (23 May 2023); https://doi.org/10.1117/12.2674540
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KEYWORDS
Power consumption
Design and modelling
Analytical research
Decision making
Astatine
Data mining
Organization management
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