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Energy Load and Power Forecasting

109 та иш

  1. Hybrid Artificial Intelligence-based Computational Fluid Dynamics model for optimizing Offshore Wind Farm aerodynamics under variable marine climate conditions

    Hayder M. Ali, Rachel Nallathamby, Saravanan Ramaiah +5

    МақолаWind Energy Research and DevelopmentClean Energy Science and Technology20260 иқтибос
    ABI

  2. Machine-learning-based assessment of heating and cooling degree days for predicting building energy demand

    Jasurbek Khamroev, Shohruh Ahmadov, Aziza Jabborova +2

    МақолаBuilding Energy and Comfort Optimization20260 иқтибос
    ABI

  3. Uncovering residential electricity consumption patterns using an integrated time-series clustering approach

    Yanan Sun, Mingdong Li, Irada Valiyeva +1

    МақолаSmart Grid Energy ManagementEnergy Strategy Reviews20260 иқтибос
    ABI

  4. A Data-Driven Machine Learning Framework for Solar PV Power Forecasting Under Dynamic Weather Conditions

    Lipika Datta, Astitva Kumar, Дилшод Мирзаев +1

    МақолаSolar Radiation and Photovoltaics20260 иқтибос
    ABI

  5. Comparative Carbon Footprint and Energy Analysis of Buildings Envelope Materials Based on Deep Learning Approach Prediction: Toward Sustainable Cities and Less Carbon Emission

    Ahmed Osman Ibrahim, Azher M. Abed, Zukhra Atamuratova +4

    МақолаBuilding Energy and Comfort OptimizationInternational Journal of Energy Research20260 иқтибос
    ABI

  6. AI-based load forecasting for renewable energy integration in microgrids

    S. I. Valiyev, Azamat Nematullayevich Sadikov

    МақолаEnergy Load and Power ForecastingAIP conference proceedings20260 иқтибос
    ABI

  7. Condition Monitoring and Fault Detection With AI and Digital Twin Technologies

    R. N. Ravikumar, S. Aarthi, Shakhboz Meylikulov +3

    БобMachine Fault Diagnosis TechniquesAdvances in computational intelligence and robotics book series20260 иқтибос
    ABI

  8. Dynamic Energy Demand Forecasting in a Norwegian Commercial Store Using Local Building Time-Series Data: CNN-LSTM and Transformer Architectures Compared

    이재희, Nuodi Fu, Moon Keun Kim +3

    ПрепринтEnergy Load and Power ForecastingSSRN Electronic Journal20260 иқтибос
    ABI

  9. A Systematic Review of Comparative Analysis of Machine Learning Models for Predicting Heating Demand and Electricity Usage with Weather Data in Buildings: Two Case Studies in Norway

    Jørgen Norø Sørensen, Jiying Liu, Moon Keun Kim +1

    ПрепринтBuilding Energy and Comfort OptimizationSSRN Electronic Journal20260 иқтибос
    ABI