首页|New Machine Learning Findings from Institute of Renewable Energy Reported (Machi ne Learning As a Surrogate Model for Energyplan: Speeding Up Energy System Optim ization At the Country Level)
New Machine Learning Findings from Institute of Renewable Energy Reported (Machi ne Learning As a Surrogate Model for Energyplan: Speeding Up Energy System Optim ization At the Country Level)
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 – New research on Machine Learning is th e subject of a report. According to news originating from Bolzano, Italy, by New sRx correspondents, research stated, “In the field of energy system modelling, i ncreasing complexity and optimization analysis are essential for understanding t he most effective decarbonization options. However, the growing need for intrica te models leads to increased computational time, which can hinder progress in re search and policy-making.” Financial support for this research came from Horizon 2020.
BolzanoItalyEuropeCyborgsEmergin g TechnologiesMachine LearningInstitute of Renewable Energy
NETL
NSTL
