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41 ta ish

Ish: Forecasting Smart Grid Stability Using a Hybrid CNN Bi-LSTM Approach

  1. State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review

    Syed Saqib Ali, Bong Jun Choi

    Sharh maqola20206 iqtibos
    ABI

  2. Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm

    Tanveer Ahmad, Rafał Madoński, Dongdong Zhang +2

    Maqola20225 iqtibos
    ABI

  3. Estimating Energy Forecasting Uncertainty for Reliable AI Autonomous Smart Grid Design

    Maher Selim, Ryan Zhou, Wenying Feng +1

    Maqola20212 iqtibos
    ABI

  4. A review of data-driven building energy consumption prediction studies

    Kadir Amasyali, Nora El-Gohary

    Sharh maqola20172 iqtibos
    ABI

  5. A review of forecasting algorithms and energy management strategies for microgrids

    Jie Ma, Xiandong Ma

    Sharh maqola20182 iqtibos
    ABI

  6. Peer-to-Peer Energy Trading Mechanism Based on Blockchain and Machine Learning for Sustainable Electrical Power Supply in Smart Grid

    Faisal Jamil, Naeem Iqbal, Imran Imran +2

    Maqola20212 iqtibos
    ABI

  7. Intelligent Optimization Framework for Efficient Demand-Side Management in Renewable Energy Integrated Smart Grid

    Hassan Wasim Khan, Muhammad Usman, Ghulam Hafeez +5

    Maqola20212 iqtibos
    ABI

  8. Stability and Control of Power Grids

    Tao Liu, Yue Song, Lipeng Zhu +1

    Maqola20212 iqtibos
    ABI

  9. Cross-Validation

    Daniel Berrar

    Bob20182 iqtibos
    ABI

  10. A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting

    Reuben Varghese Joseph, Anshuman Mohanty, Soumyae Tyagi +3

    Maqola20222 iqtibos
    ABI

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