DAY-AHEAD ELECTRIC LOAD FORECASTING FOR THE RESIDENTIAL BUILDING WITH A SMALL-SIZE DATASET BASED ON A SELF-ORGANIZING MAP AND A STACKING ENSEMBLE LEARNING METHOD

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly.Recent increases in the adoption of advanced metering infrastructure (AMI) radio birdman tshirt have made building electrical consumption data available, and this has increased the feasibility of d

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