Works matching DE "ELECTRIC power consumption forecasting"
Results: 65
Forecasting electricity consumption by aggregating specialized experts.
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- Machine Learning, 2013, v. 90, n. 2, p. 231, doi. 10.1007/s10994-012-5314-7
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- Article
RESEARCH ON POWER LOAD FORECASTING BASED ON SUPPORT VECTOR MACHINE.
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- Journal of the Balkan Tribological Association, 2016, v. 22, n. 1, p. 151
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- Article
Using GM (1,1) Optimized by MFO with Rolling Mechanism to Forecast the Electricity Consumption of Inner Mongolia.
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- Applied Sciences (2076-3417), 2016, v. 6, n. 1, p. 20, doi. 10.3390/app6010020
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- Article
Predicting agent performance in large-scale electricity demand shifting.
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- Advances in Building Energy Research, 2018, v. 12, n. 1, p. 116, doi. 10.1080/17512549.2017.1325402
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- Article
Modelling of household electricity consumption with the aid of computational intelligence methods.
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- Advances in Building Energy Research, 2018, v. 12, n. 1, p. 84, doi. 10.1080/17512549.2017.1314831
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- Article
The changing face of utility forecasting.
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- International Power Generation, 2005, v. 28, n. 3, p. 37
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- Article
Probabilistic optimal robust multistage feeder routing under load forecasting uncertainty.
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- IET Generation, Transmission & Distribution (Wiley-Blackwell), 2015, v. 9, n. 14, p. 1977, doi. 10.1049/iet-gtd.2014.1097
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- Article
Temperature correction method for pattern similarity-based short-term electricity demand forecasting models.
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- Przegląd Elektrotechniczny, 2017, v. 93, n. 3, p. 11, doi. 10.15199/48.2017.03.03
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- Article
Nearest Neighbour Model with Weather Inputs for Pattern-based Electricity Demand Forecasting.
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- Przegląd Elektrotechniczny, 2017, v. 93, n. 3, p. 7, doi. 10.15199/48.2017.03.02
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- Article
Forecasting electricity consumption with extra-model information provided by consumers.
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- Journal of Applied Statistics, 1998, v. 25, n. 2, p. 283, doi. 10.1080/02664769823269
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- Article
Short-Term Power Forecasting Framework for Microgrids Using Combined Baseline and Regression Models.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 14, p. 6420, doi. 10.3390/app11146420
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- Article
Reconstructing clusters for preconditioned short-term load forecasting.
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- Electrical Engineering in Japan, 2007, v. 161, n. 1, p. 26, doi. 10.1002/eej.20300
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- Article
A local demand forecast by NN method for distributed autonomous voltage and reactive power control system.
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- Electrical Engineering in Japan, 2007, v. 159, n. 4, p. 27, doi. 10.1002/eej.20450
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- Article
Forecasting Electricity Consumption Using an Improved Grey Prediction Model.
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- Information (2078-2489), 2018, v. 9, n. 8, p. 204, doi. 10.3390/info9080204
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- Article
Improved Electric Power Demand Forecasting by adapting the Weighted Average to the MISMO Strategy.
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- International Journal on Electrical Engineering & Informatics, 2014, v. 6, n. 2, p. 237
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- Article
Analysis of Different Neural Networks and a New Architecture for Short-Term Load Forecasting.
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- Energies (19961073), 2019, v. 12, n. 8, p. 1433, doi. 10.3390/en12081433
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- Article
Modular Predictor for Day-Ahead Load Forecasting and Feature Selection for Different Hours.
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- Energies (19961073), 2018, v. 11, n. 7, p. 1899, doi. 10.3390/en11071899
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- Article
A Smart Forecasting Approach to District Energy Management.
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- Energies (19961073), 2017, v. 10, n. 8, p. 1073, doi. 10.3390/en10081073
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Scenario Analysis of Carbon Emissions of China's Electric Power Industry Up to 2030.
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- Energies (19961073), 2016, v. 9, n. 12, p. 988, doi. 10.3390/en9120988
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A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building.
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- Energies (19961073), 2016, v. 9, n. 1, p. 57, doi. 10.3390/en9010057
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- Article
A Robust Weighted Combination Forecasting Method Based on Forecast Model Filtering and Adaptive VariableWeight Determination.
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- Energies (19961073), 2016, v. 9, n. 1, p. 20, doi. 10.3390/en9010020
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Short-Term Electrical Peak Demand Forecasting in a Large Government Building Using Artificial Neural Networks.
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- Energies (19961073), 2014, v. 7, n. 4, p. 1935, doi. 10.3390/en7041935
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- Article
Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment.
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- Energies (19961073), 2013, v. 6, n. 9, p. 4489, doi. 10.3390/en6094489
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Forecasting Electricity Demand in Thailand with an Artificial Neural Network Approach.
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- Energies (19961073), 2011, v. 4, n. 8, p. 1246, doi. 10.3390/en4081246
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- Article
Electric Power Consumption Forecasting Models and Spatio-Temporal Dynamic Analysis of China's Mega-City Agglomerations Based on Low-Light Remote Sensing Imagery Incorporating Social Factors.
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- Remote Sensing, 2025, v. 17, n. 5, p. 865, doi. 10.3390/rs17050865
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- Article
Cooling Degree Models and Future Energy Demand in the Residential Sector. A Seven-Country Case Study.
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- Sustainability (2071-1050), 2021, v. 13, n. 5, p. 2987, doi. 10.3390/su13052987
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- Article
Application of Fuzzy Time Series Approach in Electric Load Forecasting.
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- New Mathematics & Natural Computation, 2015, v. 11, n. 3, p. 229, doi. 10.1142/S1793005715500076
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- Article
Short Term Electricity Demand Forecasting for an Isolated Area using Two Different Approaches.
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- Journal of Power Technologies, 2013, v. 94, n. 2, p. 185
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- Article
Outdoor Insulation and Gas-Insulated Switchgears.
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- Energies (19961073), 2022, v. 15, n. 21, p. 8141, doi. 10.3390/en15218141
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- Article
DGM (1, 1) model optimized by MVO (multi-verse optimizer) for annual peak load forecasting.
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- Neural Computing & Applications, 2018, v. 30, n. 6, p. 1811, doi. 10.1007/s00521-016-2799-1
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- Article
Kısa dönem elektrik talep tahminleri için yapay sinir ağları ve uzman sistemler tabanlı hibrit sistem geliştirilmesi.
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- Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,, 2017, v. 32, n. 2, p. 575, doi. 10.17341/gazimmfd.322184
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A Grey Prediction Approach to Forecasting Energy Demand in China.
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- Energy Sources Part A: Recovery, Utilization & Environmental Effects, 2010, v. 32, n. 16, p. 1517, doi. 10.1080/15567030902780360
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- Article
OPTIMIZING SIMULATION FOR POLICY ANALYSIS IN A RESIDENTIAL ENERGY END-USE MODEL.
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- Operations Research, 1990, v. 38, n. 3, p. 397, doi. 10.1287/opre.38.3.397
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- Article
GMDH-type neural network-based monthly electricity demand forecasting of Turkey.
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- International Advanced Researches & Engineering Journal (IAREJ), 2021, v. 5, n. 1, p. 53, doi. 10.35860/iarej.766762
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- Article
Short-term load forecast using trend information and process reconstruction.
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- International Journal of Energy Research, 2006, v. 30, n. 10, p. 811, doi. 10.1002/er.1187
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- Article
Neural networks in forecasting electrical energy consumption: univariate and multivariate approaches.
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- International Journal of Energy Research, 2002, v. 26, n. 1, p. 67, doi. 10.1002/er.766
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- Article
Modeling and Analysis of Long Term Energy Demands in Residential Sector of Pakistan.
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- Technical Journal of University of Engineering & Technology Taxila, 2015, v. 20, n. 3, p. 11
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- Article
NUMERICAL COMPUTATION AND PREDICTION OF ELECTRICITY CONSUMPTION IN TOBACCO INDUSTRY.
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- Facta Universitatis, Series: Mechanical Engineering, 2017, v. 15, n. 3, p. 457, doi. 10.22190/FUME170927025L
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- Article
Robust remaining useful life prediction of lithium-ion battery with convolutional denoising autoencoder.
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- Mechatronics, Electrical Power & Vehicular Technology, 2024, v. 15, n. 1, p. 93, doi. 10.55981/j.mev.2024.905
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- Article
Influence of double seasonality on economic forecasts on the example of energy demand.
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- Journal of International Studies (2071-8330), 2016, v. 9, n. 3, p. 9, doi. 10.14254/2071-8330.2016/9-3/1
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- Article
Energy Price Reform and Household Welfare: The Case of Turkey.
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- Energy Journal, 2015, v. 36, n. 2, p. 71, doi. 10.5547/01956574.36.2.4
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- Article
Competition in the Dutch Electricity Market: An Empirical Analysis over 2006-2011.
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- Energy Journal, 2015, v. 36, n. 2, p. 1, doi. 10.5547/01956574.36.2.1
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- Article
Discussion of Kenichi Matsui's paper `Global Demand Growth of Power Generation, Input Choices...
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- Energy Journal, 1998, v. 19, n. 2, p. 109, doi. 10.1177/01956574199819025
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- Article
Global demand growth of power generation, input choices and supply security.
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- Energy Journal, 1998, v. 19, n. 2, p. 93, doi. 10.5547/ISSN0195-6574-EJ-Vol19-No2-5
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- Article
A NEW TREND BASED APPROACH FOR FORECASTING OF ELECTRICITY DEMAND IN KOREA.
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- International Journal of Industrial Engineering, 2012, v. 19, n. 1, p. 47
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- Article
Hybrid model based on wavelet transform and ARIMA for short-term electricity price forecasting.
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- Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, v. 31, n. 3, p. 688, doi. 10.3969/j.issn.1001-3695.2014.03.011
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- Article
Forecasting hourly electricity demand using time-varying splines.
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- Journal of the American Statistical Association, 1993, v. 88, n. 424, p. 1228, doi. 10.1080/01621459.1993.10476402
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Electricity consumption forecasting using singular spectrum analysis.
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- 2015
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- Case Study
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting.
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- Data Mining & Knowledge Discovery, 2019, v. 33, n. 2, p. 413, doi. 10.1007/s10618-018-0598-2
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- Article
A COMPARISON OF ARIMA AND GREY MODELS FOR ELECTRICITY CONSUMPTION DEMAND FORECASTING: THE CASE OF TURKEY.
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- Kastamonu University Journal of Economics & Administrative Sciences Faculty / Kastamonu Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi, 2016, v. 13, p. 134
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- Article