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Short term load forecasting is critically important in modern electricity networks since it helps provide supportive information for reliable power system operation in competitive electricity market environment. In this paper, the wavelet analysis based neural network model is employed to forecast the electricity demand in short-term period. The wavelet analysis helps to decompose the electricity...
Integration of renewable energy resources into the electricity network is one of the strategies for overall emission reduction in the network. The quantification of emission offset from renewable distributed generation (DG) needs to be incorporated in planning to assess the effectiveness of integrating these resources from emission reduction perspective. In this paper, a numerical method is proposed...
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