首页|Recent Research from Hohai University Highlight Findings in Machine Learning (Ev aluation and Machine Learning Prediction On Thermal Performance of Energy Walls In Underground Spaces As Part of Ground Source Heat Pump Systems)
Recent Research from Hohai University Highlight Findings in Machine Learning (Ev aluation and Machine Learning Prediction On Thermal Performance of Energy Walls In Underground Spaces As Part of Ground Source Heat Pump Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating in Nanjing, People's Republi c of China, by NewsRx journalists, research stated, "Energy walls (i.e. wall hea t exchangers) exhibit more complex thermal performance than do energy piles and borehole heat exchangers in ground source heat pump systems, due to their indivi dual geometry. This study conducted field tests of energy wall thermal performan ce to analyze the influence and interaction of the pipe burial depth, flow rate, heating load, and operation mode."
NanjingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHohai University
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