The impact of offshore wind energy on Northern European wholesale electricity prices
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DOI: 10.1016/j.apenergy.2023.120910
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Citations
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Cited by:
- Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2024. "Operation and maintenance management for offshore wind farms integrating inventory control and health information," Renewable Energy, Elsevier, vol. 231(C).
- Mahdavi-Meymand, Amin & Sulisz, Wojciech, 2024. "Development of pyramid neural networks for prediction of significant wave height for renewable energy farms," Applied Energy, Elsevier, vol. 362(C).
- Zhang, Yagang & Pan, Zhiya & Wang, Hui & Wang, Jingchao & Zhao, Zheng & Wang, Fei, 2023. "Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach," Energy, Elsevier, vol. 283(C).
- Shao, Yunfei & Fan, Shuai & Meng, Yuhang & Jia, Kunqi & He, Guangyu, 2024. "Personalized demand response based on sub-CDL considering energy consumption characteristics of customers," Applied Energy, Elsevier, vol. 374(C).
- Mario González & Andressa Santiso & Dylan Jones & Negar Akbari & Rafael Vasconcelos & David Melo, 2024. "Offshore Wind Power Growth and Industrial Development in Emerging Markets," Energies, MDPI, vol. 17(18), pages 1-22, September.
- Zhu, Bangzhu & Tian, Chao & Wang, Ping, 2024. "Exploring the relationship between Chinese crude oil futures market efficiency and market micro characteristics," Energy Economics, Elsevier, vol. 134(C).
- Silvana Tiedemann & Raffaele Sgarlato & Lion Hirth, 2023. "Price elasticity of electricity demand: Using instrumental variable regressions to address endogeneity and autocorrelation of high-frequency time series," Papers 2306.12863, arXiv.org.
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Keywords
Offshore wind power; Wholesale electricity prices; Time series analysis; Electricity price modelling;All these keywords.
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