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Publication : energies (19961073)

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Academic Journal

PV Production Forecast Using Hybrid Models of Time Series with Machine Learning Methods.

Authors : Haupt, Thomas¹ (AUTHOR); Trull, Oscar² (AUTHOR) ; Moog, Mathias¹ (AUTHOR)

Source: Energies (19961073). Jun2025, Vol. 18 Issue 11, p2692. 17p.

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Academic Journal

Forecast-Aided Converter-Based Control for Optimal Microgrid Operation in Industrial Energy Management System (EMS): A Case Study in Vietnam.

Authors : Jeon, Yeong-Nam¹ (AUTHOR); Ko, Jae-ha² (AUTHOR)

Source: Energies (19961073). Jun2025, Vol. 18 Issue 12, p3202. 29p.

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Academic Journal

Parametric Forecast of Solar Energy over Time by Applying Machine Learning Techniques: Systematic Review.

Authors : Mucomole, Fernando Venâncio^1,2,3 (AUTHOR); Silva, Carlos Augusto Santos^2,4 (AUTHOR); Magaia, Lourenço Lázaro^3,5 (AUTHOR)

Source: Energies (19961073). Mar2025, Vol. 18 Issue 6, p1460. 51p.

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Academic Journal

Hybrid Multi-Branch Attention–CNN–BiLSTM Forecast Model for Reservoir Capacities of Pumped Storage Hydropower Plant.

Authors : Gong, Yu¹ (AUTHOR); Wu, Hao² (AUTHOR); Zhou, Junhuang³ (AUTHOR)

Source: Energies (19961073). Jun2025, Vol. 18 Issue 12, p3057. 18p.

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Academic Journal

Long-Term Forecast of Peak Power Demand for Poland—Construction and Use of Simplified Forecasting Models.

Authors : Popławski, Tomasz¹ (AUTHOR)

Source: Energies (19961073). Jul2025, Vol. 18 Issue 13, p3472. 17p.

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Academic Journal

Detailed Forecast for the Development of Electric Trucks and Tractor Units and Their Power Demand in Hamburg by 2050.

Authors : Avdevičius, Edvard¹ (AUTHOR); Jahic, Amra¹ (AUTHOR); Schulz, Detlef (AUTHOR)

Source: Energies (19961073). Jul2025, Vol. 18 Issue 14, p3719. 28p.

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Academic Journal

Scenario-Based Analysis of the Impact of the Electrification of the Delivery Fleet on the Sustainability of E-Commerce—Forecast Until 2050.

Authors : Pyra, Mariusz¹ (AUTHOR)

Source: Energies (19961073). Mar2025, Vol. 18 Issue 6, p1503. 19p.

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Academic Journal

A Spatial Long-Term Load Forecast Using a Multiple Delineated Machine Learning Approach.

Authors : Lukong, Terence Kibula^1,2 (AUTHOR) ; Nganyu Tanyu, Derick^2,3 (AUTHOR); Nkongtchou, Yannick^1,3 (AUTHOR)

Source: Energies (19961073). May2025, Vol. 18 Issue 10, p2484. 16p.

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Academic Journal

Spatiotemporal Downscaling Model for Solar Irradiance Forecast Using Nearest-Neighbor Random Forest and Gaussian Process.

Authors : Asiedu, Shadrack T.¹ (AUTHOR); Suvedi, Abhilasha^1,2 (AUTHOR); Wang, Zongjie^2,3 (AUTHOR)

Source: Energies (19961073). May2025, Vol. 18 Issue 10, p2447. 26p.

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Academic Journal

Artificial Intelligence-Based Improvement of Empirical Methods for Accurate Global Solar Radiation Forecast: Development and Comparative Analysis.

Authors : Ali, Mohamed A.^1,2 (AUTHOR) ; Elsayed, Ashraf^3,4 (AUTHOR) ; Elkabani, Islam^3,4 (AUTHOR)

Source: Energies (19961073). Sep2024, Vol. 17 Issue 17, p4302. 42p.

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نتائج البحث

فلترة النتائج

PV Production Forecast Using Hybrid Models of Time Series with Machine Learning Methods.

Forecast-Aided Converter-Based Control for Optimal Microgrid Operation in Industrial Energy Management System (EMS): A Case Study in Vietnam.

Parametric Forecast of Solar Energy over Time by Applying Machine Learning Techniques: Systematic Review.

Hybrid Multi-Branch Attention–CNN–BiLSTM Forecast Model for Reservoir Capacities of Pumped Storage Hydropower Plant.

Long-Term Forecast of Peak Power Demand for Poland—Construction and Use of Simplified Forecasting Models.

Detailed Forecast for the Development of Electric Trucks and Tractor Units and Their Power Demand in Hamburg by 2050.

Scenario-Based Analysis of the Impact of the Electrification of the Delivery Fleet on the Sustainability of E-Commerce—Forecast Until 2050.

A Spatial Long-Term Load Forecast Using a Multiple Delineated Machine Learning Approach.

Spatiotemporal Downscaling Model for Solar Irradiance Forecast Using Nearest-Neighbor Random Forest and Gaussian Process.

Artificial Intelligence-Based Improvement of Empirical Methods for Accurate Global Solar Radiation Forecast: Development and Comparative Analysis.

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