Mid-Long Term Load Forecasting Based on Fuzzy Soft Set and D-S Evidence Theory

Autor: Qiao Ling Wu, Lei Lei Fan, Qin Liang Tan, Qingguo Ma, Dong Xiao Niu
Rok vydání: 2013
Předmět:
Zdroj: Advanced Materials Research. :682-685
ISSN: 1662-8985
Popis: According to errors between the predicted values and the actual values, this paper establishes a fuzzy soft set in the form of membership function, then utilizes Dempster combination rule in evidence theory to synthesize the prediction results to obtain the weights of each single model, and thus builds a new hybrid combination forecasting model. The example shows that the proposed model can effectively improve the accuracy of mid-long term load forecasting, and is more accurate and credible than the combination forecasting model based on entropy or simply fuzzy soft set theory.
Databáze: OpenAIRE