首页|Study Findings from TECNALIA Update Knowledge in Machine Learning (Building energy performance metamodels for district energy management optimisation platforms)
Study Findings from TECNALIA Update Knowledge in Machine Learning (Building energy performance metamodels for district energy management optimisation platforms)
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 DailyNews Daily News - New research on artificial intelligence is the subject of a new report. According to newsreporting originating from Derio, Spain, by NewsRx correspondents, research stated, “Reactive controlstrategies lack the flexibility necessary to optimize the operational costs of buildings and district systems.To overcome this limitation and to enable the transition to model predictive control strategies (MPC), thedevelopment of dedicated control platforms and models is required.”
NETL
NSTL
