Adaptive Forecasting Techniques for Load Variability in SEIG-ELC Off-Grid Systems using Machine Learning and Grid Search Optimization: Datasset
收藏Figshare2026-02-14 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Adaptive_Forecasting_Techniques_for_Load_Variability_in_SEIG-ELC_Off-Grid_Systems_using_Machine_Learning_and_Grid_Search_Optimization_Datasset/31337968
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资源简介：
This dataset contains 2000 experimental samples collected from a 2.2 kW self-excited induction generator (SEIG) with electronic load controller (ELC) for PCC voltage prediction. Measurements include switching time, main load power, dump load power, and RMS voltage, acquired using a Fluke 435-II analyser under variable load conditions in off-grid operation.
创建时间：
2026-02-14
