Study on Probabilistic Load Forecasting Model and Its Improvements
نویسندگان
چکیده
Abstract The current research on probabilistic load forecasting models mostly combines machine learning algorithms and quantile regression methods to construct models. This paper first summarizes combs the commonly used forecast Combined with actual data, we analyzed main factors affecting performance of attempted elaborate influencing mechanism. Then, a strategy based sample weight is designed. According analysis experimental verification, propose future direction for forecasting.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2023
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2527/1/012073