Dynamic Regression Prediction Models for Customer Specific Electricity Consumption
نویسندگان
چکیده
We have developed a conventional benchmark model for the prediction of two days electricity consumption industrial and institutional customers an provider. This task predicting 96 values 15 min per day in one shot is successfully dealt with by dynamic regression that uses Seasonal Trend decomposition method (STL) estimation trend seasonal components based on (approximately) three years real data. With help suitable R packages, our concept can also be applied to comparable problems prediction.
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ژورنال
عنوان ژورنال: Electricity
سال: 2023
ISSN: ['2673-4826']
DOI: https://doi.org/10.3390/electricity4020012