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Conditional density forecast of China's energy demand via QRNN model
Cao, Shubo; Xu, Qifa; Jiang, Cuixia; He, Yaoyao - In: Applied economics letters 25 (2018) 12, pp. 867-875
Persistent link: https://www.econbiz.de/10012130465
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Forecast of Iran's electricity consumption using a combined approach of neural networks and econometrics
Aghaeifar, Roya; Pourkazemi, Mohammad Hossein - In: Iranian economic review : journal of University of Tehran 17 (2013) 3, pp. 139-159
Persistent link: https://www.econbiz.de/10010347503
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Electricity consumption prediction using artificial intelligence
Čegovnik, Tomaž; Dobrovoljc, Andrej; Povh, Janez; … - In: Central European journal of operations research 31 (2023) 3, pp. 833-851
Persistent link: https://www.econbiz.de/10014326562
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A hybrid machine learning model for forecasting a billing period’s peak electric load days
Saxena, Harshit; Aponte, Omar; McConky, Katie T. - In: International journal of forecasting 35 (2019) 4, pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279
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A comparison of univariate methods for forecasting electricity demand up to a day ahead
Taylor, James W.; De Menezes, Lilian M.; McSharry, … - In: International journal of forecasting 22 (2006) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10003283925
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Machine learning in energy forecasts with an application to high frequency electricity consumption data
Heilmann, Erik; Henze, Janosch; Wetzel, Heike - 2021
Forecasting plays an essential role in energy economics. With new challenges and use cases in the energy system …
Persistent link: https://www.econbiz.de/10012649104
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Electricity consumption prediction using a neural-network-based grey forecasting approach
Hu, Yi-Chung - In: Journal of the Operational Research Society : OR 68 (2017) 10, pp. 1259-1264
Persistent link: https://www.econbiz.de/10011804142
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Linear optimal weighting estimator (LOWE) for efficient parallel hybridization of load forecasts
Chahkotahi, Fatemeh; Khashei, Mehdi - In: Journal of modelling in management 17 (2022) 3, pp. 1028-1048
Persistent link: https://www.econbiz.de/10013362699
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Artificial intelligence in energy industry : forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system
Tutun, Salih; Tosyali, Ali; Sangrody, Hossein; … - In: Journal of business analytics 6 (2023) 1, pp. 59-76
Persistent link: https://www.econbiz.de/10013536148
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Electrical load forecasting to plan the increase in renewable energy sources and electricity demand : a CNN-QR-RTCF and deep learning approach
Jiotsop-Foze, Wellcome Peujio; Hernández-del-Valle, Adrián - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 4, pp. 186-194
Persistent link: https://www.econbiz.de/10014635888