Prediction Model for Energy Sharing and Carbon Emission Management based on Distributed Solar Power Simulation in Smart City

Abstract

Distributed solar power simulation in smart cities analyzes model design plans and result values based on three strategies. Standardization of data from a data perspective, analysis of solar power generation patterns from a multidimensional perspective and suggest a model for energy sharing and carbon emission management through RNN-based simulation. By analyzing patterns based on data closely related to energy in smart cities, it refers to stable and efficient energy management and carbon reduction measures for future industries.