Works matching DE "ENERGY consumption forecasting"
Results: 379
AN APPLICATION OF CLOSED-FORM ERROR ANALYSIS TO FISCAL IMPACT MODELS.
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- Management Science, 1982, v. 28, n. 2, p. 213, doi. 10.1287/mnsc.28.2.213
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Time-Series Forecasting Models for Smart Meters Data: An Empirical Comparison and Analysis.
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- Journal Européen des Systèmes Automatisés, 2024, v. 57, n. 5, p. 1419, doi. 10.18280/jesa.570517
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Optimization of Deep Reservoir Computing with Binary Genetic Algorithm for Multi-Time Horizon Forecasting of Power Consumption.
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- Journal Européen des Systèmes Automatisés, 2022, v. 55, n. 6, p. 701, doi. 10.18280/jesa.550602
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Analysis and Forecasting of the Primary Energy Consumption in Poland Using Deep Learning.
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- Inzynieria Mineralna, 2020, v. 45, n. 1, p. 217, doi. 10.29227/IM-2020-01-77
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Forecasting Energy Usage based on Weather Conditions using Machine Learning.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 4, p. 3199
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Industrial markets to increase energy consumption.
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- IIE Solutions, 1999, v. 31, n. 2, p. 10
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- Article
Validation of a Computer Code for the Energy Consumption of a Building, with Application to Optimal Electric Bill Pricing.
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- Econometrics (2225-1146), 2022, v. 10, n. 4, p. 34, doi. 10.3390/econometrics10040034
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COMPARISON OF SHORT-TERM FORECASTING METHODS OF ELECTRICITY CONSUMPTION IN MICROGRIDS .
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- Radio Electronics, Computer Science, Control, 2023, n. 1, p. 14, doi. 10.15588/1607-3274-2023-1-2
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Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models.
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- Journal of Cloud Computing (2192-113X), 2024, v. 13, n. 1, p. 1, doi. 10.1186/s13677-024-00669-x
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Multi-Timescale Energy Consumption Management in Smart Buildings Using Hybrid Deep Artificial Neural Networks.
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- Journal of Low Power Electronics & Applications, 2024, v. 14, n. 4, p. 54, doi. 10.3390/jlpea14040054
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Offline first-fit decreasing height scheduling of power loads.
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- Journal of Scheduling, 2017, v. 20, n. 5, p. 527, doi. 10.1007/s10951-017-0528-y
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A novel method to forecast energy consumption of selective laser melting processes.
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- International Journal of Production Research, 2021, v. 59, n. 8, p. 2375, doi. 10.1080/00207543.2020.1733126
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A comparative analysis of artificial neural network architectures for building energy consumption forecasting.
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- International Journal of Distributed Sensor Networks, 2019, v. 15, n. 9, p. N.PAG, doi. 10.1177/1550147719877616
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An Ensemble Machine Learning Model for Enhancing the Prediction Accuracy of Energy Consumption in Buildings.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2022, v. 47, n. 4, p. 4105, doi. 10.1007/s13369-021-05927-7
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Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence.
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- PLoS ONE, 2024, v. 19, n. 11, p. 1, doi. 10.1371/journal.pone.0307654
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Forecasting Energy Demand in Jordan Using Artificial Neural Networks.
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- Topics in Middle Eastern & North African Economies: Proceedings of the Middle East Economic Association, 2012, v. 14, p. 473
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Energy analysis for a sustainable future: multi-scale integrated analysis of societal and ecosystem metabolism.
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- 2015
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- Book Review
The Leading Edge of Global Heat - Arabian Peninsula.
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- CounterPunch, 2024, p. 1
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Seasonality, cointegration, and forecasting UK residential energy demand.
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- Scottish Journal of Political Economy, 1999, v. 46, n. 2, p. 185, doi. 10.1111/1467-9485.00128
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Electrical energy consumption forecasting using regression method considering temperature effect for distribution network.
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- Electrical Engineering, 2022, v. 104, n. 5, p. 3465, doi. 10.1007/s00202-022-01559-8
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Modeling CO 2 Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model.
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- Forecasting, 2024, v. 6, n. 3, p. 485, doi. 10.3390/forecast6030027
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- Article
Towards Efficient Battery Electric Bus Operations: A Novel Energy Forecasting Framework.
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- World Electric Vehicle Journal, 2024, v. 15, n. 1, p. 27, doi. 10.3390/wevj15010027
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- Article
UNDEVELOPED POWER.
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- Journal of Education, 1922, v. 96, n. 19, p. 507
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- Article
Predicting Electricity Consumption in Corporate Sector-Case of the Czech Republic.
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- International Advances in Economic Research, 2014, v. 20, n. 2, p. 235, doi. 10.1007/s11294-013-9447-7
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- Article
Integrated multistep Markov-based velocity predictor of energy consumption prediction model for battery electric vehicles.
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- Transportmetrica B: Transport Dynamics, 2021, v. 9, n. 1, p. 399, doi. 10.1080/21680566.2020.1867664
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- Article
China's Current Energy Policy: Dependencies and Contradictions.
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- Polish Journal of Environmental Studies, 2023, v. 32, n. 4, p. 3663, doi. 10.15244/pjoes/163564
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- Article
Prolonging the lifetime of wireless sensor networks by utilizing feedback control.
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- Wireless Networks (10220038), 2014, v. 20, n. 7, p. 2095, doi. 10.1007/s11276-014-0726-x
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- Article
Outlook for Energy in the United States.
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- Bulletin of the Atomic Scientists, 1971, v. 27, n. 8, p. 18, doi. 10.1080/00963402.1971.11455396
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- Article
Energy Consumption Prediction of Injection Molding Process Based on Rolling Learning Informer Model.
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- Polymers (20734360), 2024, v. 16, n. 21, p. 3097, doi. 10.3390/polym16213097
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- Article
MACLSTM: A Weather Attributes Enabled Recurrent Approach to Appliance-Level Energy Consumption Forecasting.
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- Computers, Materials & Continua, 2025, v. 82, n. 2, p. 2969, doi. 10.32604/cmc.2025.060230
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Adaptive Error Curve Learning Ensemble Model for Improving Energy Consumption Forecasting.
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- Computers, Materials & Continua, 2021, v. 69, n. 2, p. 1893, doi. 10.32604/cmc.2021.018523
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- Article
Jordan Energy Demand Forecast Using ARIMA Model Until 2030.
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- Jordan Journal of Mechanical & Industrial Engineering, 2024, v. 18, n. 3, p. 471, doi. 10.59038/jjmie/180303
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ANN‐based energy consumption prediction model up to 2050 for a residential building: Towards sustainable decision making.
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- Environmental Progress & Sustainable Energy, 2021, v. 40, n. 3, p. 1, doi. 10.1002/ep.13544
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Multi-criteria methodology based on data science for the selection of the optimal forecast model for residential electricity consumption.
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- Scientia et Technica, 2023, v. 28, n. 3, p. 108, doi. 10.22517/23447214.25335
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption.
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- PLoS ONE, 2025, v. 19, n. 1, p. 1, doi. 10.1371/journal.pone.0315668
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Energy consumption forecasting for oil and coal in China based on hybrid deep learning.
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- PLoS ONE, 2025, v. 20, n. 1, p. 1, doi. 10.1371/journal.pone.0313856
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Less Energy, a Better Economy, and a Sustainable South Korea: An Energy Efficiency Scenario Analysis.
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- Bulletin of Science, Technology & Society, 2002, v. 22, n. 2, p. 110, doi. 10.1177/0270467602022002005
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The changing face of utility forecasting.
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- International Power Generation, 2005, v. 28, n. 3, p. 37
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Chinese market continues to grow and grow.
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- International Power Generation, 2004, v. 27, n. 1, p. 4
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- Article
Energy demand to grow by 59 per cent over 20 years.
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- International Power Generation, 2001, v. 24, n. 3, p. 6
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- Article
A New Optimized Grey Forecasting Model with Polynomial Term and Its Application.
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- Journal of Grey System, 2024, v. 36, n. 3, p. 74
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An Optimized Multivariate Grey Bernoulli Model for Forecasting Fossil Energy Consumption in China.
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- Journal of Grey System, 2024, v. 36, n. 2, p. 67
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A Laspeyres Index Decomposition-based Multivariable Grey Prediction Model for Forecasting Energy Consumption: A Case Study of Ghana.
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- Journal of Grey System, 2023, v. 35, n. 1, p. 130
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A Novel Time-Varying Multivariable Nonlinear Grey Model and Its Application.
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- Journal of Grey System, 2021, v. 33, n. 3, p. 150
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Flexible process planning based on predictive models for machining time and energy consumption.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 128, n. 3/4, p. 1763, doi. 10.1007/s00170-023-12027-3
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An empirical method for forecasting energy consumption in material extrusion.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 127, n. 5/6, p. 2911, doi. 10.1007/s00170-023-11646-0
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- Article
A flexible energy behaviors modeling method for machining the workpiece based on feature technology.
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- International Journal of Advanced Manufacturing Technology, 2021, v. 113, n. 9/10, p. 2849, doi. 10.1007/s00170-021-06797-x
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Data-driven smart production line and its common factors.
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- International Journal of Advanced Manufacturing Technology, 2019, v. 103, n. 1-4, p. 1211, doi. 10.1007/s00170-019-03469-9
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A simulation approach for predicting energy use during general milling operations.
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- International Journal of Advanced Manufacturing Technology, 2017, v. 90, n. 9-12, p. 3187, doi. 10.1007/s00170-016-9654-5
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- Article
Forecasting South Sulawesi Electrical Energy Consumption Using Artificial Neural Network.
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- Przegląd Elektrotechniczny, 2024, v. 2024, n. 3, p. 191, doi. 10.15199/48.2024.03.34
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- Article