A Review of Applications of Artificial Intelligence Technologies to Energy Fields
Author:
Affiliation:
1. Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/143/2/143_104/_pdf
Reference31 articles.
1. (1) エネルギー白書2022, 第1章 国内エネルギー動向, p. 72 (2022)
2. (2) 環境省脱炭素ポータル：URL: https://ondankataisaku.env.go.jp/carbon_neutral/index.html
3. (3) W. Liu, P. P. Pokharel, et al.: “Correntropy: Properties and Applications in Non-Gaussian Signal Processing”, IEEE Trans. on Signal Processing, Vol. 55, No. 11, pp. 5286-5298 (2007)
4. (4) K. Ito, R. Yokoyama, et al.: “Optimal Operation of Cogeneration Plants with Steam Injected Gas Turbines”, Journal of Gas Turbines and Power, Vol. 117, Issue 1, pp. 60-66 (1995)
5. (5) R. Yokoyama, et al.: “A Revised Decomposition Method for MILP Problems and Its Application to Operational Planning of Thermal Storage Systems”, Journal of Energy Resources Technology, Vol. 118, pp. 277-284 (1996)
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