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A game theoretic technique for risk-based optimal bidding strategies in energy aggregators of markets: Knowledge management approach

Published Print: 2022-10

Authors

Wang, Shubin http://orcid.org/0000-0003-4510-8317
Li, Jian

Du, Pei

Zhao, Erlong
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (71988101)

Fundamental Research Funds for the Central Universities (SK2021007, xpt012020022)
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Text and Data Mining valid from 2022-10-01

Version of Record valid from 2022-09-25
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This article is maintained by: Elsevier

Article Title: A game theoretic technique for risk-based optimal bidding strategies in energy aggregators of markets: Knowledge management approach

Journal Title: Journal of Innovation & Knowledge

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jik.2022.100279

Content Type: article

Copyright: © 2022 The Authors. Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge.

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