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13 hours ago ， Moreover, renewable sources produce little to no greenhouse gas emissions during operation, helping to mitigate the impact of energy production on global ...
7 hours ago ， Based on this, this paper proposes a PV power generation anomaly detection method based on Quantile Regression Recurrent Neural Network (QRRNN). First, the ...
Missing: renewable | Show results with:renewable
5 hours ago ， Flexible interconnection can improve the distribution grid. Microgrids, virtual power plants, and FERC Order 2222. AI and machine learning. Battery energy ...
Missing: Optimal | Show results with:Optimal
17 hours ago ， We present a robust machine learning methodology to accurately predict key photovoltaic parameters in organic solar cells (OSCs).
Missing: plants | Show results with:plants
9 hours ago ， Electrical Engineering is a journal publishing original papers in electrical engineering with a strong focus on electric power systems. Offers original ...
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17 hours ago ， The SVR provides highly accurate predictions by finding the optimal hyperplane, which minimizes the prediction error. It also efficiently captures the complex ...
Missing: operation renewable
22 hours ago ， This paper presents a new optimization technique based on the hybridization of two meta-heuristic methods, Jellyfish Search (JS) and Moth Flame Optimizer (MFO), ...
13 hours ago ， Multiple stacked services enabled by advanced AI and ML algorithms can further optimize supply and demand.
Missing: Optimal | Show results with:Optimal
8 hours ago ， The list of topics spans all the areas of modern intelligent systems such as: Artificial Intelligence. Deep Learning. Machine Learning. Pattern Recognition.
13 hours ago ， We use machine learning to construct a new probabilistic system. We explain ... In this work we introduces IceBoost, a machine learning framework to ...
