| System for realizing machine learning-driven forecasting for enhanced solar energy management and smart grid optimization, has display unit connected to analysis unit to display results of predictive unit on display screen, and analysis and display units connected to each other by network | |
| 2025-02-27 | |
| 专利权人 | JOSHI S S (JOSH-Individual) ; VANISRI S (VANI-Individual) ; SHARMA P K (SHAR-Individual) ; PAUL S (PAUL-Individual) ; HUSSAIN T (HUSS-Individual) ; SUVETHA P S (SUVE-Individual) ; ARULKUMAR P (ARUL-Individual) ; NAGARATNAM B (NAGA-Individual) ; AGATHIYAN A (AGAT-Individual) ; VINOTHKUMAR B (VINO-Individual) ; VARATHARAJ K (VARA-Individual) ; NAGILA A (NAGI-Individual) |
| 申请日期 | 2025-02-27 |
| 专利号 | IN202511017151-A |
| 成果简介 | NOVELTY - The system comprises an analysis unit (103), a display unit (105) and a machine learning unit (104). The analysis unit analyzes the energy absorption and utilization rates. The display unit displays the results of a first predictive unit. The first predictive unit predicts the forecasting for enhanced solar energy management and smart grid optimization. The first predictive unit runs and includes a second predictive unit to predict the forecasting of the solar energy. A display unit is connected to the analysis unit to display results of the first predictive unit on a display screen. The analysis and display units are connected to each other by a network. USE - System for realizing machine learning-driven forecasting for enhanced solar energy management and smart grid optimization. ADVANTAGE - The system achieves smart grid optimization by using advanced data analytics and control systems within a smart grid to efficiently manage electricity generation, transmission, and distribution, thus minimizing costs, maximizing reliability, and integrating renewable energy sources by dynamically adjusting power flow based on real-time demand fluctuations and grid conditions. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a system for realizing machine learning-driven forecasting for enhanced solar energy management and smart grid optimization. 101Solar panel 102Smart grid unit 103Analysis unit 104Machine learning unit 105Display unit |
| IPC 分类号 | G06N-020/00 ; G06Q-050/06 ; G06T-007/11 ; H02J-003/36 ; H02J-003/38 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13580 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | 1.JOSHI S S (JOSH-Individual) 2.VANISRI S (VANI-Individual) 3.SHARMA P K (SHAR-Individual) 4.PAUL S (PAUL-Individual) 5.HUSSAIN T (HUSS-Individual) 6.SUVETHA P S (SUVE-Individual) 7.ARULKUMAR P (ARUL-Individual) 8.NAGARATNAM B (NAGA-Individual) 9.AGATHIYAN A (AGAT-Individual) 10.VINOTHKUMAR B (VINO-Individual) 11.VARATHARAJ K (VARA-Individual) 12.NAGILA A (NAGI-Individual) |
| 推荐引用方式 GB/T 7714 | JOSHI S S,VANISRI S,SHARMA P K,et al. System for realizing machine learning-driven forecasting for enhanced solar energy management and smart grid optimization, has display unit connected to analysis unit to display results of predictive unit on display screen, and analysis and display units connected to each other by network. IN202511017151-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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