Application of Energy Performance Contracting in Distribution Transformer Based on Neural Network Prediction

Energy Performance Contracting has a positive impact on energy clean applications and reducing carbon emissions from a commercial and operational perspective. It is mainly applied to energy-consuming facilities and equipment, but there is still no clear application system on the distribution network side with large domestic losses. From the perspective of predictiveness, this paper analyzes the effect of energy-saving benefits of distribution transformers by using neural network algorithm, and proposes a power contract benefit management model for distribution transformers. Through the model, the expected benefit target of the distribution transformer can be clearly analyzed. The method of this paper can be used to calculate the comprehensive recycling cycle of energy-saving service companies to carry out energy performance contracting business for distribution transformers. The model is robust and proposes a feasible direction for the integrated energy service business on the distribution network side.