首页|Reports from Department of Electrical Engineering Describe Recent Advances in Ar tificial Intelligence (An Explainable Artificial Intelligence Based Approach for the Prediction of Key Performance Indicators for 1 Megawatt Solar Plant Under L ocal ...)
Reports from Department of Electrical Engineering Describe Recent Advances in Ar tificial Intelligence (An Explainable Artificial Intelligence Based Approach for the Prediction of Key Performance Indicators for 1 Megawatt Solar Plant Under L ocal ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ar tificial Intelligence. According to news reporting out of Gandhinagar, India, by NewsRx editors, research stated, “Motivated by the growing significance of sola r energy, the paper presents the findings of the maiden study on the long-term s easonal performance assessment of three PV module technologies-monocrystalline ( m-Si), polycrystalline (p-Si), and amorphous silicon (a-Si) housed in a 1 MW sol ar plant installed at a local steppe climate in Gandhinagar, Gujarat, India usin g the key performance indicators (KPIs), daily power generation, final yield (Yf ), reference yield (Yr), total energy loss (TEL) and performance ratio (PR). Not ably, the am-Si PV modules were found to be the best performing technology, with an average PR of 71.26% and the lowest average total energy loss of 631 h during the monitored period.”
GandhinagarIndiaAsiaArtificial Int elligenceCyborgsEmerging TechnologiesMachine LearningDepartment of Elect rical Engineering
NETL
NSTL
