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  • Search: subject:"Power forecasting"
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Year of publication
Subject
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Wind power forecasting 7 Forecasting model 5 Prognoseverfahren 5 wind power forecasting 4 Solar irradiance 3 Solar power forecasting 3 Time series analysis 3 Wind energy 3 Windenergie 3 Zeitreihenanalyse 3 Ensemble verification 2 Forecasting competition 2 GoogLeNet 2 Ground base sky image 2 Kalman filter 2 Multi-variate prediction 2 Numerical weather prediction 2 Performance evaluation and comparison 2 Photovoltaic power forecasting 2 Probabilistic forecasting 2 Short and long term prediction 2 Short-term wind power forecasting 2 Theorie 2 Theory 2 Time series to frequency transformation 2 Unsupervised machine learning 2 Wind power generation 2 Wind turbine 2 Windenergieanlage 2 ARIMA 1 ARX models 1 Analog ensemble 1 Artificial Neural Network (ANN) 1 Artificial intelligence 1 Artificial neural network 1 Artificial neural networks 1 Combined model 1 Copula models 1 Data pre-analysis 1 Demand management 1
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Online availability
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Undetermined 14 Free 12 CC license 2
Type of publication
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Article 24 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Article 2 Conference paper 2 Konferenzbeitrag 2
Language
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Undetermined 19 English 7
Author
All
Alessandrini, S. 2 Bordin, Chiara 2 Fan, Shu 2 Fernandez-Jimenez, L. Alfredo 2 Hong, Tao 2 Mishra, Sambeet 2 Palu, Ivo 2 Pinson, Pierre 2 Ramirez-Rosado, Ignacio J. 2 Sperati, S. 2 Taharaguchi, Kota 2 Achara Pichetjamroen 1 Ahmadi, Mehrnaz 1 Anastasiades, Georgios 1 Bessa, Ricardo 1 Bruninx, Kenneth 1 Campilongo, Stefano 1 Catalão, J.P.S. 1 Chang, Wen-Yeau 1 Chen, Hao 1 Comodi, Gabriele 1 Congedo, Paolo Maria 1 D'haeseleer, William 1 Dai, Yiping 1 De Felice, Matteo 1 Delarue, Erik 1 Delle Monache, L. 1 Ferracuti, Francesco 1 Ficarella, Antonio 1 Flores, P. 1 Foley, Aoife M. 1 Fonti, Alessandro 1 Giantomassi, Andrea 1 Giorgi, Maria Grazia De 1 Hou, Ru 1 Hyndman, Rob J. 1 Khashei, Mehdi 1 Lai, Kin Keung 1 Leahy, Paul G. 1 Lujano-Rojas, J.M. 1
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Institution
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Hugo Steinhaus Center for Stochastic Methods, Politechnika Wrocławska 1 Robert Schuman Centre for Advanced Studies (RSCAS), European University Institute 1
Published in...
All
Energies 6 Renewable Energy 6 Applied Energy 3 Energy 2 Energy Reports 2 Energy reports 2 International journal of forecasting 2 HSC Research Reports 1 Journal of modelling in management 1 RSCAS Working Papers 1
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Source
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RePEc 19 ECONIS (ZBW) 5 EconStor 2
Showing 1 - 10 of 26
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The linear-nonlinear data preprocessing based hybrid (LNDH) models for wind power forecasting
Ahmadi, Mehrnaz; Khashei, Mehdi - In: Journal of modelling in management 18 (2023) 5, pp. 1620-1634
Persistent link: https://www.econbiz.de/10014380968
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A copula-based time series model for global horizontal irradiation
Müller, Alfred; Reuber, Matthias - In: International journal of forecasting 39 (2023) 2, pp. 869-883
Persistent link: https://www.econbiz.de/10014465159
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Short term prediction of sun coverage using optical flow with GoogLeNet
In: Energy Reports 6 (2020) 2, pp. 526-531
One of the challenges of PV power generation is solar intermittency from weather conditions. Solar irradiance prediction is therefore required to deal with this issue. Several prediction methods have been proposed based on whole sky image processing techniques. This paper presents a combination...
Persistent link: https://www.econbiz.de/10012652289
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Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature
Mishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; … - In: Energy Reports 6 (2020) 3, pp. 273-286
Wind power experienced a substantial growth over the past decade especially because it has been seen as one of the best ways towards meeting climate change and emissions targets by many countries. Since wind power is not fully dispatchable, the accuracy of wind forecasts is a key element for the...
Persistent link: https://www.econbiz.de/10012652360
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Short term prediction of sun coverage using optical flow with GoogLeNet
Nithiphat Teerakawanich; Thanonchai Leelaruji; Achara … - In: Energy reports 6 (2020) 2, pp. 526-531
One of the challenges of PV power generation is solar intermittency from weather conditions. Solar irradiance prediction is therefore required to deal with this issue. Several prediction methods have been proposed based on whole sky image processing techniques. This paper presents a combination...
Persistent link: https://www.econbiz.de/10012181170
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Cover Image
Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature
Mishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; … - In: Energy reports 6 (2020) 3, pp. 273-286
Wind power experienced a substantial growth over the past decade especially because it has been seen as one of the best ways towards meeting climate change and emissions targets by many countries. Since wind power is not fully dispatchable, the accuracy of wind forecasts is a key element for the...
Persistent link: https://www.econbiz.de/10012183091
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Probabilistic energy forecasting : Global Energy Forecasting Competition 2014 and beyond
Hong, Tao; Pinson, Pierre; Fan, Shu; Zareipour, Hamidreza; … - In: International journal of forecasting 32 (2016) 3, pp. 896-913
Persistent link: https://www.econbiz.de/10011621881
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Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)
Giorgi, Maria Grazia De; Campilongo, Stefano; … - In: Energies 7 (2014) 8, pp. 5251-5272
A high penetration of wind energy into the electricity market requires a parallel development of efficient wind power … forecasting models. Different hybrid forecasting methods were applied to wind power prediction, using historical data and …
Persistent link: https://www.econbiz.de/10010886253
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Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models
Chen, Hao; Wan, Qiulan; Wang, Yurong - In: Energies 7 (2014) 7, pp. 4185-4198
The scientific evaluation methodology for the forecast accuracy of wind power forecasting models is an important issue … in the domain of wind power forecasting. However, traditional forecast evaluation criteria, such as Mean Squared Error … practical evaluation of wind power forecasting models. It is concluded that the two refined DM tests can provide reference to …
Persistent link: https://www.econbiz.de/10010790945
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Global Energy Forecasting Competition 2012
Hong, Tao; Pinson, Pierre; Fan, Shu - Hugo Steinhaus Center for Stochastic Methods, … - 2013
forecasting and wind power forecasting, with details on the aspects of the problem, the data, and a summary of the methods used by …
Persistent link: https://www.econbiz.de/10011165887
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