The Industrial Transitions and Their Impact on Wind Solar Hybrid Power Generation with Inference Model Approach

Solar Wind Hybrid Power Generation

Abstract

The industry 5.0 revolution has an objective to enhance the performance of the specialized user with efficient integration, intelligent collaboration and manipulation of processes towards the precise and accurate results in order to optimized the resources in combination with the user in comparison to industry 4.0. In this article, the short comings of the industry 4.0 are faced regarding their application with wind- solar hybrid energy sector and highlights its solutions against challenges that enhanced its transformation toward the adaptation of the industry 5.0 revolution. We have elaborately discussed a potential application of industry 5.0 that proposes an architectural concept describing a transformation of industry 4.0, which implies a cyber physical system to the newly emerging industry 5.0 revolution adopting a human cyber physical system (HCPS) specifically for wind solar hybrid power generation plants. The proposed Industrial Internet of Things (IIoT) based model is presented in order to optimize the feedback and control system for the efficient utilization of energy resources for electrical power generation/consumption in connection with the micro grid connectivity. The presented model will be standardized and regulate the supervisory control and data acquisition system mediated by machine learning modeler and well-informed decisions.