Management and Policy Modeling of the Market Using Artificial Intelligence

This paper investigates the market management and modeling based on advanced artificial intelligence. The proposed model deploys combination of support vector machine fuzzy set theory to provide a practical powerful prediction for price over next day. A realistic effective is then introduced players, such as renewable energy sources solar wind turbines, well fossil-fueled micro turbines fuel cells. In order an optimal program, it introduces stochastic framework point estimate method adaptive grey wolf optimization algorithm (GWO). methods use strategy choose most fitting modification enhancing GWO performance. scenario simulated demonstrate model’s effectiveness impression real management. results clearly show model. superiority by RMSE 2.9643 compared 3.217 SVR, 3.2364 ANN 3.0621 Moreover, MAPE 2.7453 method, which much better than 3.052 3.1552 2.9285 From view optimization, power dispatch has been attained with total cost 300.8632 24 h.