Advanced price forecasting in agent-based electricity market simulation
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DOI: 10.1016/j.apenergy.2021.116688
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- Loizidis, Stylianos & Kyprianou, Andreas & Georghiou, George E., 2024. "Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets," Applied Energy, Elsevier, vol. 363(C).
- Lebeau, Alexis & Petitet, Marie & Quemin, Simon & Saguan, Marcelo, 2024. "Long-term issues with the Energy-Only Market design in the context of deep decarbonization," Energy Economics, Elsevier, vol. 132(C).
- Paweł Pijarski & Adrian Belowski, 2024. "Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue," Energies, MDPI, vol. 17(2), pages 1-42, January.
- Yu, Hui & Li, Ying & Wang, Wei, 2023. "Optimal innovation strategies of automakers with market competition under the dual-credit policy," Energy, Elsevier, vol. 283(C).
- Tanut Treetanthiploet & Yufei Zhang & Lukasz Szpruch & Isaac Bowers-Barnard & Henrietta Ridley & James Hickey & Chris Pearce, 2023. "Insurance pricing on price comparison websites via reinforcement learning," Papers 2308.06935, arXiv.org.
- Giacomo Talluri & Gabriele Maria Lozito & Francesco Grasso & Carlos Iturrino Garcia & Antonio Luchetta, 2021. "Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities," Energies, MDPI, vol. 14(24), pages 1-23, December.
- Paulius Kozlovas & Saulius Gudzius & Audrius Jonaitis & Inga Konstantinaviciute & Viktorija Bobinaite & Saule Gudziute & Gustas Giedraitis, 2024. "Price Cannibalization Effect on Long-Term Electricity Prices and Profitability of Renewables in the Baltic States," Sustainability, MDPI, vol. 16(15), pages 1-23, July.
- Erik Heilmann & Janosch Henze & Heike Wetzel, 2021. "Machine learning in energy forecasts with an application to high frequency electricity consumption data," MAGKS Papers on Economics 202135, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Beltrán, Sergio & Castro, Alain & Irizar, Ion & Naveran, Gorka & Yeregui, Imanol, 2022. "Framework for collaborative intelligence in forecasting day-ahead electricity price," Applied Energy, Elsevier, vol. 306(PA).
- Heilmann, Erik, 2023. "The impact of transparency policies on local flexibility markets in electric distribution networks," Utilities Policy, Elsevier, vol. 83(C).
- Fett, Daniel & Fraunholz, Christoph & Keles, Dogan, 2021. "Diffusion and system impact of residential battery storage under different regulatory settings," Energy Policy, Elsevier, vol. 158(C).
- Fabian Scheller & Frauke Wiese & Jann Michael Weinand & Dominik Franjo Dominkovi'c & Russell McKenna, 2021. "An expert survey to assess the current status and future challenges of energy system analysis," Papers 2106.15518, arXiv.org.
- Erik Heilmann, 2021. "The impact of transparency policies on local flexibility markets in electrical distribution networks: A case study with artificial neural network forecasts," MAGKS Papers on Economics 202141, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Shao, Zhen & Yang, Yudie & Zheng, Qingru & Zhou, Kaile & Liu, Chen & Yang, Shanlin, 2022. "A pattern classification methodology for interval forecasts of short-term electricity prices based on hybrid deep neural networks: A comparative analysis," Applied Energy, Elsevier, vol. 327(C).
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Keywords
Agent-based simulation; Artificial neural network; Electricity price forecasting; Electricity market;All these keywords.
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