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Ultra‐short‐term load forecasting is one of the core techniques for distribution networks operation. Since individual load in distribution networks is small and with strong randomness, single prediction model cannot guarantee the forecasting accuracy and combined forecasting solution is usually used. In such forecasting scheme, how to weight the different forecasting model is a challenge. By introducing the concept of cooperative game, the weight of every algorithm can be determined according to the error distribution. The proposed method has been tested for a real distribution networks and the results show this scheme has good prediction precision, and can control the error distribution at the inflection points.
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Ngo et al. (2017) studied this question.
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