Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs
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DOI: 10.1016/j.matcom.2020.07.011
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- Leva, S. & Dolara, A. & Grimaccia, F. & Mussetta, M. & Ogliari, E., 2017. "Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 88-100.
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- Simos, Theodore E. & Katsikis, Vasilios N. & Mourtas, Spyridon D., 2022. "Multi-input bio-inspired weights and structure determination neuronet with applications in European Central Bank publications," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 193(C), pages 451-465.
- Carla Sahori Seefoo Jarquin & Alessandro Gandelli & Francesco Grimaccia & Marco Mussetta, 2023. "Short-Term Probabilistic Load Forecasting in University Buildings by Means of Artificial Neural Networks," Forecasting, MDPI, vol. 5(2), pages 1-15, April.
- Pedro M. R. Bento & Jose A. N. Pombo & Maria R. A. Calado & Silvio J. P. S. Mariano, 2021. "Stacking Ensemble Methodology Using Deep Learning and ARIMA Models for Short-Term Load Forecasting," Energies, MDPI, vol. 14(21), pages 1-21, November.
- Venkataramana Veeramsetty & Dongari Rakesh Chandra & Francesco Grimaccia & Marco Mussetta, 2022. "Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks," Forecasting, MDPI, vol. 4(1), pages 1-16, January.
- Delagnes, T. & Henneron, T. & Clenet, S. & Fratila, M. & Ducreux, J.P., 2023. "Comparison of reduced basis construction methods for Model Order Reduction, with application to non-linear low frequency electromagnetics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 211(C), pages 470-488.
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Keywords
Load forecasting; Neural network; Echo state network; Demand response programs;All these keywords.
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