首页|Studies from Concordia University Update Current Data on Machine Learning (Evalu ating the Applicability of a Machine Learning Methodology To Improve Tmy Weather File Generation for Different Canadian Climate Zones)
Studies from Concordia University Update Current Data on Machine Learning (Evalu ating the Applicability of a Machine Learning Methodology To Improve Tmy Weather File Generation for Different Canadian Climate Zones)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Montreal, Canada, by New sRx correspondents, research stated, “Typical meteorological year (TMY) weather files are used in building energy simulations to represent typical weather condi tions for a location. The conventional approach to generating TMY weather files uses a set of universal weighting factors determined based on expert judgment.” Financial support for this research came from Natural Sciences and Engineering R esearch Council of Canada (NSERC).
MontrealCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningConcordia University
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