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  • Search: subject:"Load forecasting"
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Year of publication
Subject
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load forecasting 11 Load forecasting 7 Electricity 5 Forecasting model 5 Prognoseverfahren 5 short-term load forecasting 5 Forecast combination 4 Electric load forecasting 3 Electric power industry 3 Elektrizität 3 Elektrizitätswirtschaft 3 Energy forecasting 3 FPCA 3 Sister forecast 3 artificial neural network 3 microgrid 3 ATMs 2 Artificial intelligence 2 Electric Load Forecasting 2 Electricity price 2 Energiekonsum 2 Energy consumption 2 Künstliche Intelligenz 2 Neural networks 2 Neuronale Netze 2 Quantile Regression 2 Short-term load forecasting 2 Strompreis 2 artificial neural networks 2 data mining 2 machine learning 2 multilayer perceptron 2 service optimization 2 smart grid 2 time series forecasting 2 COVID-19 1 Cold load pick-up 1 Convolutional Neural Networks 1 Coronavirus 1 Data Mining 1
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Online availability
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Free 35 CC license 4
Type of publication
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Article 19 Book / Working Paper 15 Other 1
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article 1 Congress Report 1
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Language
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Undetermined 24 English 10 Polish 1
Author
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Hong, Tao 8 Aguiar, Javier M. 3 Baladrón, Carlos 3 Carro, Belén 3 Liu, Bidong 3 Lloret, Jaime 3 Schulz, Franziska 3 Calavia, Lorena 2 Fan, Shu 2 Gobareva, Yana 2 Gorodetskaya, Olga 2 Hernández, Luis 2 Hernández-del-Valle, Adrián 2 Hur, Kyeon 2 Jiotsop-Foze, Wellcome Peujio 2 Koroteev, Mikhail 2 López Cabrera, Brenda 2 Nowotarski, Jakub 2 Sánchez-Esguevillas, Antonio 2 Venegas-Martínez, Francisco 2 Weron, Rafal 2 Yoo, Jaeyeong 2 Ahmadi, Lena 1 Al-Ammar, Essam A. 1 An, Kyungsung 1 Bajic, Sanja 1 Borges, Cruz E. 1 Borgosz-Koczwara, Magdalena 1 Bouffard, François 1 Božić, Miloš 1 Bretos, Oscar 1 Cabrera, Brenda Lopez 1 Chaianong, Aksornchan 1 Chen, Li-Yueh 1 Clements, A.E 1 Croiset, Eric 1 Dong, Yucheng 1 Douglas, Peter L. 1 Duan, Pan 1 Dudek, Grzegorz 1
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Institution
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Hugo Steinhaus Center for Stochastic Methods, Politechnika Wrocławska 9 Department of Econometrics and Business Statistics, Monash Business School 1 National Centre for Econometric Research (NCER) 1 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1
Published in...
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Energies 12 HSC Research Reports 9 International Journal of Energy Economics and Policy : IJEEP 2 Economies 1 Economies : open access journal 1 Energy strategy reviews 1 Les cahiers du GERAD 1 Monash Econometrics and Business Statistics Working Papers 1 NCER Working Paper Series 1 Operations Research and Decisions 1 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1 SFB 649 discussion paper 1
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Source
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RePEc 25 ECONIS (ZBW) 6 BASE 2 EconStor 2
Showing 1 - 10 of 35
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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
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Transforming Mexico’s electric load infrastructure : a quantile transformer network deep learning approach, 2019-2020
Jiotsop-Foze, Wellcome Peujio; Hernández-del-Valle, Adrián - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 5, pp. 527-533
Persistent link: https://www.econbiz.de/10015117716
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Impacts of traffic data on short-term residential load forecasting before and during the COVID-19 pandemic
Chaianong, Aksornchan; Winzer, Christian; Gellrich, Mario - In: Energy strategy reviews 43 (2022), pp. 1-10
Accurate load forecasting is essential for power-sector planning and management. This applies during normal situations …, traffic data could improve load forecasting where information on historical load is not available. Another benefit of using …
Persistent link: https://www.econbiz.de/10014512770
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A machine learning pipeline for forecasting time series in the banking sector
Gorodetskaya, Olga; Gobareva, Yana; Koroteev, Mikhail - In: Economies 9 (2021) 4, pp. 1-15
The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A...
Persistent link: https://www.econbiz.de/10013199943
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Local cold load pick-up estimation using time-stamped measurements
Bajic, Sanja; Bouffard, François; Mishalska, Hannah; … - 2021
Persistent link: https://www.econbiz.de/10012704513
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A machine learning pipeline for forecasting time series in the banking sector
Gorodetskaya, Olga; Gobareva, Yana; Koroteev, Mikhail - In: Economies : open access journal 9 (2021) 4, pp. 1-15
The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A...
Persistent link: https://www.econbiz.de/10012800488
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Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment
Hernández, Luis; Baladrón, Carlos; Aguiar, Javier M.; … - In: Energies 6 (2013) 9, pp. 4489-4507
Short-Term Load Forecasting plays a significant role in energy generation planning, and is specially gaining momentum …>microgrids</i>. This paper presents a two stage prediction model based on an Artificial Neural Network in order to allow Short-Term Load … Forecasting of the following day in <i>microgrid</i> environment, which first estimates peak and valley values of the demand curve …
Persistent link: https://www.econbiz.de/10011031145
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Sister models for load forecast combination
Liu, Bidong; Liu, Jiali; Hong, Tao - Hugo Steinhaus Center for Stochastic Methods, … - 2015
This paper introduces the concept of sister models, and proposes a sister model based load forecast combination method to enhance the point forecasting accuracy. Using the data from the Global Energy Forecasting Competition 2014, we create a case study with 4 sister forecasts from 4 sister...
Persistent link: https://www.econbiz.de/10011161430
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Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts
Liu, Bidong; Nowotarski, Jakub; Hong, Tao; Weron, Rafal - Hugo Steinhaus Center for Stochastic Methods, … - 2015
Majority of the load forecasting literature has been on point forecasting, which provides the expected value for each … than ever before. As a result, probabilistic load forecasting, which provides additional information on the variability and … point load forecasting literature over the past several decades; and 2) it does not rely so much on high quality expert …
Persistent link: https://www.econbiz.de/10011212025
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Improving short term load forecast accuracy via combining sister forecasts
Nowotarski, Jakub; Liu, Bidong; Weron, Rafal; Hong, Tao - Hugo Steinhaus Center for Stochastic Methods, … - 2015
Although combining forecasts is well-known to be an effective approach to improving forecast accuracy, the literature and case studies on combining load forecasts are very limited. In this paper, we investigate the performance of combining so-called sister load forecasts with eight methods:...
Persistent link: https://www.econbiz.de/10011272115
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