Hybrid offshore wind and solar power plant (HOSWPP) site selection faces three main issues: an incomplete indicator system, limited reliability of evaluation methods, and a weak linkage with economic evaluation. To address these issues, a comprehensive decision-making framework was established, based on geographic information system (GIS), multi-criteria decision making (MCDM), and life-cycle economic evaluation. The group fuzzy analytic hierarchy process (GFAHP) was used to improve the reliability of criteria weights. The preference ranking organization method for enrichment evaluations Ⅱ (PROMETHEE Ⅱ) was applied to evaluate alternatives. Meanwhile, life-cycle economic evaluation was conducted for the verification of the site selection results, from the perspective of economic feasibility. It was also used for support of subsequent project planning, design, and operation. Finally, the framework was applied to the offshore area of Shandong Province, China. The results show that approximately 38.15% (57 783.69 km²) of the area had potential for HOSWPP deployment, and the development sequence of 20 alternatives was determined. Among them, alternative A11 performed best, with a levelized cost of electricity (LCOE) of 0.569 7 yuan/(kW·h). These results provide a theoretical reference for the efficient deployment of HOSWPP.

Aiming at the problem of imperfect suitability analysis system of offshore wind-salor complementary development, this paper establishes a suitability analysis framework for offshore wind-solar integration based on geographic information systems(GIS) and an improved multi-criteria decision-making method. To reduce subjective bias, an interval valued intuitionistic fuzzy analytic hierarchy process(IVIF-AHP) is proposed to calculate indicator weights. Additionally, to more accurately reflect decision-makers′ preferences, a preference ranking organization method for enrichment evaluations Ⅱ(PROMETHEE Ⅱ) is employed to derive the suitability index. Finally, the decision-making framework is applied to an example of suitability analysis of offshore wind-solar complementary development in Shandong Province, which provides a reference and theoretical support for the subsequent construction of offshore wind-solar complementary power plants in Shandong Province.

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.