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Advances in Building Energy Research Volume 12, 2018 - Issue 1: Artificial Intelligence Techniques for the Smart Grid
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Customized time-of-use pricing for small-scale consumers using multi-objective particle swarm optimization

A. ChrysopoulosECE Department, Aristotle University of Thessaloniki, Thessaloniki, GreeceCorrespondence[email protected]
&
P. A. MitkasECE Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
Pages 25-47 | Received 07 Oct 2016, Accepted 26 Feb 2017, Published online: 15 May 2017

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Luca Grieco, Martin Utley & Sonya Crowe. (2021) Operational research applied to decisions in home health care: A systematic literature review. Journal of the Operational Research Society 72:9, pages 1960-1991.
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Andrej Bregar. (2020) Implementation of a multi-agent multi-criteria negotiation protocol for self-sustainable smart grids. Journal of Decision Systems 29:sup1, pages 87-97.
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Nick Bassiliades & Georgios Chalkiadakis. (2018) Artificial Intelligence Techniques for the Smart Grid. Advances in Building Energy Research 12:1, pages 1-2.
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Articles from other publishers (4)

Bingzheng Wang, Xiaoli Yu, Qian Wu, Zhi Li, Ruicheng Jiang, Gao Qian & Rui Huang. (2022) Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity. Case Studies in Thermal Engineering 38, pages 102297.
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Han Li, Zhe Wang, Tianzhen Hong & Mary Ann Piette. (2021) Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications. Advances in Applied Energy 3, pages 100054.
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Kamakshi Prashadini Swain, Prakash Lakhara, Kapish Khetan, Siddhant Mishra & Mala De. (2021) Efficient hybrid pricing for optimal DSM of home energy management system utilizing load precedence. International Transactions on Electrical Energy Systems 31:3.
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Xinyu Wang, Xiaoxia Li, Rongyin Zhu & Zetao Lv. 2021. Artificial Intelligence in China. Artificial Intelligence in China 277 284 .

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