首页|Study Results from Liverpool John Moores University Provide New Insights into Ar tificial Intelligence (Field Studies of the Artificial Intelligence Model for De fining Indoor Thermal Comfort To Acknowledge the Adaptive Aspect)
Study Results from Liverpool John Moores University Provide New Insights into Ar tificial Intelligence (Field Studies of the Artificial Intelligence Model for De fining Indoor Thermal Comfort To Acknowledge the Adaptive Aspect)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news reporting from Liverpool , United Kingdom, by NewsRx journalists, research stated, “Numerous Artificial I ntelligence (AI) solutions are available for achieving thermal comfort. They wer e either trained with limited datasets or using personalized training with limit ed field studies.” The news correspondents obtained a quote from the research from Liverpool John M oores University, “This work assessed the model that used the ASHRAE multiple da tabases as the shallow supervised learning dataset for an Artificial Neural Netw ork (ANN) based controller suitable for the residential dwellings’ node. The lea rning accuracy can be increased to 96.1%. This paper presented the field studies to show the model performances for the common UK dwellings: the pr ior 1970s, the new, modular, refurbished, and the use of new materials to improv e indoor thermal performance. The result shows that the model was able to perfor m in different environments and able to acknowledge adaptive human comfort. This was shown by the ability to represent 98.90% of the ASHRAE Standa rd 55 data, 6.06% improvement from the previous research. As a res ult, the broader comfort zone acknowledgement can lead to energy saving whilst m aintaining comfort by the possibility of lowering the temperature set point. Thi s study also proves that further energy savings can be acquired from the occupan ts’ presence, scheduling, and activities.”
LiverpoolUnited KingdomEuropeArtif icial IntelligenceEmerging TechnologiesMachine LearningLiverpool John Moor es University
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