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An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction
In this study, an interval-valued time series forecasting scheme based on probability distribution information features of interval-valued data with machine learning algorithms is proposed to enhance electric power generation forecasting.
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