Forecasting Market Clearing Prices in Electricity Markets with Time Series Based Machine Learning Models
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67192-0_3
Reference13 articles.
1. Akhtar, S., et al.: Short-Term Load Forecasting Models: a review of challenges, progress, and the road ahead. Energies 16(10), 4060 (2023). https://doi.org/10.3390/en16104060
2. Anamika, A., Kumar, N.: Market clearing price prediction using ANN in indian electricity markets. In: 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS) (2016). https://doi.org/10.1109/iceets.2016.7583797
3. Baskan, D.E., et al.: A Scenario-Based model comparison for Short-Term Day-Ahead electricity prices in times of economic and political tension. Algorithms 16(4), 177 (2023). https://doi.org/10.3390/a16040177
4. Chaudhury, P., Tyagi, A., Shanmugam, P.K.: Comparison of various machine learning algorithms for predicting energy price in open electricity market. In: 2020 International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE) (2020). https://doi.org/10.1109/icue49301.2020.9307100
5. Demirezen, S., Çetin, M.: Rassal orman regresyonu ve destek vektör regresyonu ile piyasa takas fiyatinin tahmini. Nicel Bilimler Dergisi 3(1), 1–15 (2021). https://doi.org/10.51541/nicel.832164
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