Research on Intelligent Model for Wind and Wave Joint Development Zoning of Improved MCDM and ANN

In view of the problems of complex calculation, time-consuming and high cost in the current research on marine energy zoning, an intelligent model of wind and wave joint development zoning is proposed in this study based on the improved multi-criteria decision making (MCDM) method and artificial neural network (ANN). In order to reduce the subjective bias of experts, the fuzzy level based weight assessment (FLBWA) method is applied to calculate the weight of evaluation indexes; Then combined with improved Borda-multi-objective optimization on the basis of ratio analysis plus full multiplicative form (Borda-MULTIMOORA) method to calculate suitability index, thereby the evaluation results are obtained more accurately and efficiently; Subsequently, the grey wolf optimizer with back propagation (GWO-BP) neural network builds and trains an intelligent model to transform suitability analysis into an automated, efficient and intelligent process. Finally, the feasibility and rationality of the model are verified by taking the joint development zoning of Shandong Province as an example. According to the case verification, the model can realize the intelligence of wind and wave joint development zoning, and provide reference for research and government planning in related fields.