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The middle-term electric load forecasting is an existing difficult work and often has a large error. To address the problem, this paper proposes a novel cloud theory based time-series predictive method for middle-term electric load forecasting. In this method, the time series of daily maximum load is partitioned into two parts, historical dataset and current tendency dataset, backward cloud algorithm...
The middle-term electric load forecasting is an existing difficult work and often has a large error. To address the problem, this paper proposes a novel cloud theory based time-series predictive method for middle-term electric load forecasting. In this method, the time series of daily maximum load is partitioned into two parts, historical dataset and current tendency dataset, backward cloud algorithm...
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