Simplified model of integrated paper mill for optimal bidding in energy and reserve markets
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DOI: 10.1016/j.apenergy.2020.115857
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Cited by:
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- Manna, Carlo & Lahariya, Manu & Karami, Farzaneh & Develder, Chris, 2023. "A data-driven optimization framework for industrial demand-side flexibility," Energy, Elsevier, vol. 278(C).
- Harri Aaltonen & Seppo Sierla & Rakshith Subramanya & Valeriy Vyatkin, 2021. "A Simulation Environment for Training a Reinforcement Learning Agent Trading a Battery Storage," Energies, MDPI, vol. 14(17), pages 1-20, September.
- Wang, Jiayang & Wang, Qiang & Sun, Wenqiang, 2023. "Quantifying flexibility provisions of the ladle furnace refining process as cuttable loads in the iron and steel industry," Applied Energy, Elsevier, vol. 342(C).
- 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.
- Poplavskaya, Ksenia & Lago, Jesus & Strömer, Stefan & de Vries, Laurens, 2021. "Making the most of short-term flexibility in the balancing market: Opportunities and challenges of voluntary bids in the new balancing market design," Energy Policy, Elsevier, vol. 158(C).
- Son, Hyunsoo & Kim, Miae & Kim, Jin-Kuk, 2022. "Sustainable process integration of electrification technologies with industrial energy systems," Energy, Elsevier, vol. 239(PB).
- 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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Keywords
Ancillary services; Frequency reserves; Industrial demand response; Optimal bidding; Pulp and paper mill; Stochastic optimization;All these keywords.
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