Multi-Kernel Learning based Sugar Industry Load Forecasting
نویسندگان
چکیده
Sugar industry which plans for power usage from Bagasse also needs the load forecasting carried out using energy audit data. The stochastic nature of demand sugar to be forecasted in advance assuring uninterrupted delivery industry. manual data obtained a period time is and trained on regression based MultiKernel Learning (MKL). Support Vector Regression (SVR) formulation applied with topology performance parameters including Absolute Error (MAE), Mean Percentage (MAPE) observed implementation. algorithm Multi Kernel Python toolbox.
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ژورنال
عنوان ژورنال: International journal of recent technology and engineering
سال: 2021
ISSN: ['2277-3878']
DOI: https://doi.org/10.35940/ijrte.e5304.019521