Estimating the participation value of electricity demand-response programmes for a two-stage production system-Reference-Cited by-同舟云学术

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Estimating the participation value of electricity demand-response programmes for a two-stage production system

Published:2021-10-29 Issue: Volume: Page:1-21
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhang Yunrong¹²,Glock Christoph H.²^ORCID,Chen Zhixiang³

Affiliation:

1. School of Management, Lanzhou University, Lanzhou, People's Republic of China

2. Institute of Production and Supply Chain Management, Technische Universität Darmstadt, Darmstadt, Germany

3. Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1992681

Reference55 articles.

1. Finding and Implementing Energy Efficiency Projects in Industrial Facilities

2. Albadi, M. H., and E. F. El-Saadany. 2007. “Demand Response in Electricity Markets: An Overview.” In 2007 IEEE Power Engineering Society General Meeting, 1–5. Tampa, FL, USA.

3. A summary of demand response in electricity markets

4. Production and Inventory Control of a Single Product Assemble-to-Order System with Multiple Customer Classes

5. On the use of waste heat in a two-stage production system with controllable production rates

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1. Distributed real-time pricing of smart grid considering individual differences;Omega;2024-09

2. A Data-driven Framework for Quantifying Demand Response Participation Benefit of Industrial Consumers;IEEE Transactions on Industry Applications;2024

3. Two-stage electricity production scheduling with energy storage and dynamic emission modelling;International Journal of Production Research;2023-11-09

4. A Data-driven Assessment Model for Demand Response Participation Benefit of Industries;2022 IEEE Texas Power and Energy Conference (TPEC);2022-02-28

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