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Data-driven real-time price-based demand response for industrial facilities energy management

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  1. Lv, Chaoxian & Liang, Rui & Zhang, Ge & Zhang, Xiaotong & Jin, Wei, 2023. "Energy accommodation-oriented interaction of active distribution network and central energy station considering soft open points," Energy, Elsevier, vol. 268(C).
  2. Fang, Debin & Wang, Pengyu, 2023. "Optimal real-time pricing and electricity package by retail electric providers based on social learning," Energy Economics, Elsevier, vol. 117(C).
  3. Caixin Yan & Zhifeng Qiu, 2025. "Review of Power Market Optimization Strategies Based on Industrial Load Flexibility," Energies, MDPI, vol. 18(7), pages 1-41, March.
  4. Sun, Fangyuan & Kong, Xiangyu & Wu, Jianzhong & Gao, Bixuan & Chen, Ke & Lu, Ning, 2022. "DSM pricing method based on A3C and LSTM under cloud-edge environment," Applied Energy, Elsevier, vol. 315(C).
  5. Xiao, Dongliang & Lin, Zhenjia & Wu, Qiuwei & Meng, Anbo & Yin, Hao & Lin, Zhenhong, 2025. "Risk-factor-oriented stochastic dominance approach for industrial integrated energy system operation leveraging physical and financial flexible resources," Applied Energy, Elsevier, vol. 377(PA).
  6. Jiang, Meihui & Xu, Zhenjiang & Zhu, Hongyu & Hwang Goh, Hui & Agustiono Kurniawan, Tonni & Liu, Tianhao & Zhang, Dongdong, 2024. "Integrated demand response modeling and optimization technologies supporting energy internet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
  7. Xu, Fangyuan & Zhu, Weidong & Wang, Yi Fei & Lai, Chun Sing & Yuan, Haoliang & Zhao, Yujia & Guo, Siming & Fu, Zhengxin, 2022. "A new deregulated demand response scheme for load over-shifting city in regulated power market," Applied Energy, Elsevier, vol. 311(C).
  8. Niko Karhula & Seppo Sierla & Valeriy Vyatkin, 2021. "Validating the Real-Time Performance of Distributed Energy Resources Participating on Primary Frequency Reserves," Energies, MDPI, vol. 14(21), pages 1-19, October.
  9. Norouzi, Mohammadali & Aghaei, Jamshid & Niknam, Taher & Alipour, Mohammadali & Pirouzi, Sasan & Lehtonen, Matti, 2023. "Risk-averse and flexi-intelligent scheduling of microgrids based on hybrid Boltzmann machines and cascade neural network forecasting," Applied Energy, Elsevier, vol. 348(C).
  10. Yun, Lingxiang & Xiao, Minkun & Li, Lin, 2022. "Vehicle-to-manufacturing (V2M) system: A novel approach to improve energy demand flexibility for demand response towards sustainable manufacturing," Applied Energy, Elsevier, vol. 323(C).
  11. Yun, Lingxiang & Li, Lin & Ma, Shuaiyin, 2022. "Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment," Applied Energy, Elsevier, vol. 310(C).
  12. Lu, Renzhi & Bai, Ruichang & Ding, Yuemin & Wei, Min & Jiang, Junhui & Sun, Mingyang & Xiao, Feng & Zhang, Hai-Tao, 2021. "A hybrid deep learning-based online energy management scheme for industrial microgrid," Applied Energy, Elsevier, vol. 304(C).
  13. Liu, Xinmin & Sun, Wenqiang & Chen, Tiantian & Xu, Xiaoyuan & Huang, Tao, 2025. "Energy and environmental performance of iron and steel industry in real-time demand response: A case of hot rolling process," Applied Energy, Elsevier, vol. 389(C).
  14. Xi Wang & Baorui Chen & Yuduo Xiao & Siyang Liao & Xi Ye & Jiayu Bai, 2024. "Optimized Scheduling Model Considering the Demand Response and Sequential Requirements of Polysilicon Production," Energies, MDPI, vol. 17(23), pages 1-17, December.
  15. Olga Bogdanova & Karīna Viskuba & Laila Zemīte, 2023. "A Review of Barriers and Enables in Demand Response Performance Chain," Energies, MDPI, vol. 16(18), pages 1-33, September.
  16. Bashyal, Atit & Boroukhian, Tina & Veerachanchai, Pakin & Naransukh, Myanganbayar & Wicaksono, Hendro, 2025. "Multi-agent deep reinforcement learning based demand response and energy management for heavy industries with discrete manufacturing systems," Applied Energy, Elsevier, vol. 392(C).
  17. Mossie, Alebachew T. & Khatiwada, Dilip & Palm, Bjorn & Bekele, Getachew, 2025. "Energy demand flexibility potential in cement industries: How does it contribute to energy supply security and environmental sustainability?," Applied Energy, Elsevier, vol. 377(PC).
  18. Mohammed Jasim M. Al Essa, 2025. "A review on price-driven energy management systems and demand response programs in smart grids," Environment Systems and Decisions, Springer, vol. 45(1), pages 1-22, March.
  19. Marcin Sawczuk & Adam Stawowy & Olga Okrzesik & Damian Kurek & Mariola Sawczuk, 2024. "Managing Costs of the Capacity Charge through Real-Time Adjustment of the Demand Pattern," Energies, MDPI, vol. 17(8), pages 1-17, April.
  20. Yun, Lingxiang & Li, Lin & Zhang, Jiapei & Guan, Jingze, 2025. "Cost-effective industrial internet of things network planning for sustainable manufacturing systems," International Journal of Production Economics, Elsevier, vol. 281(C).
  21. Hessam Golmohamadi & Saeed Golestan & Rakesh Sinha & Birgitte Bak-Jensen, 2024. "Demand-Side Flexibility in Power Systems, Structure, Opportunities, and Objectives: A Review for Residential Sector," Energies, MDPI, vol. 17(18), pages 1-22, September.
  22. Kohút, Roman & Klaučo, Martin & Kvasnica, Michal, 2025. "Unified carbon emissions and market prices forecasts of the power grid," Applied Energy, Elsevier, vol. 377(PC).
  23. Leherbauer, Dominik & Schulz, Julia & Egyed, Alexander & Hehenberger, Peter, 2025. "Demand-side management in less energy-intensive industries: A systematic mapping study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
  24. Kanakadhurga, Dharmaraj & Prabaharan, Natarajan, 2022. "Peer-to-Peer trading with Demand Response using proposed smart bidding strategy," Applied Energy, Elsevier, vol. 327(C).
  25. Chen, Qixin & Lyu, Ruike & Guo, Hongye & Su, Xiangbo, 2024. "Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources," Applied Energy, Elsevier, vol. 361(C).
  26. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
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