Title |
Prediction Model for Energy Sharing and Carbon Emission Management based on Distributed Solar Power Simulation in Smart City |
ID_Doc |
39095 |
Authors |
Yoon, G; Shin, H; Jung, H; Cho, K; Lee, S; Park, S |
Title |
Prediction Model for Energy Sharing and Carbon Emission Management based on Distributed Solar Power Simulation in Smart City |
Year |
2022 |
Published |
|
DOI |
10.1109/ICPS54075.2022.9773831 |
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. |
Author Keywords |
Artificial Intelligence; Energy management; Energy Share; Managing carbon emissions; Renewable Energy; Simulation; Smart City |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000838714500015 |
WoS Category |
Construction & Building Technology; Engineering, Mechanical |
Research Area |
Construction & Building Technology; Engineering |
PDF |
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