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Forecasting day-ahead electricity load using a multiple equation time series approach
Clements, Adam; Hurn, Stan; Li, Z. - In: European journal of operational research : EJOR 251 (2016) 2, pp. 522-530
Persistent link: https://www.econbiz.de/10011444344
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Short-run electricity load forecasting with combinations of stationary wavelet transforms
Bessec, Marie; Fouquau, Julien - In: European journal of operational research : EJOR 264 (2018) 1, pp. 149-164
Persistent link: https://www.econbiz.de/10011801600
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An integrated approach to forecasting intermittent demand for electric power materials
Jiang, Aiping; Chi, Qiuguo; Gao, Junjun; Wu, Maoguo - In: Computational economics 53 (2019) 4, pp. 1309-1335
Persistent link: https://www.econbiz.de/10012135133
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Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting
Gaillard, Pierre; Goude, Yannig; Nedellec, Raphaël - In: International journal of forecasting 32 (2016) 3, pp. 1038-1050
Persistent link: https://www.econbiz.de/10011621991
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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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Electricity demand forecasting and risk management using Gaussian process model with error propagation
Wen, Kuangyu; Wu, Wenbin; Wu, Ximing - In: Journal of forecasting 42 (2023) 4, pp. 957-969
Persistent link: https://www.econbiz.de/10014292889
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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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Forecasting electricity smart meter data using conditional kernel density estimation
Arora, Siddarth; Taylor, James W. - In: Omega : the international journal of management science 59 (2016), pp. 47-59
Persistent link: https://www.econbiz.de/10011439737
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Rethinking weather station selection for electric load forecasting using genetic algorithms
Moreno-Carbonell, Santiago; Sánchez-Úbeda, Eugenio F.; … - In: International journal of forecasting 36 (2020) 2, pp. 695-712
Persistent link: https://www.econbiz.de/10012415337
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Assessing the Accuracy of Electricity Demand Forecasts in Developing Countries
Steinbuks, Jevgenijs - 2017
This study assesses the accuracy of time-series econometric methods in forecasting electricity demand in developing countries. The analysis of historical time series for 106 developing countries over 1960-2012 demonstrates that econometric forecasts are highly accurate for the majority of these...
Persistent link: https://www.econbiz.de/10012246437