Browsing ODA Open Digital Archive by Author "Tian, Zhe"
Now showing items 1-4 of 4
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The development of radiant floor cooling system (RFCS): System type, control strategy, and application
Cui, Mengying; Ning, Baisong; Wu, Xiaozhou; Kim, Moon Keun; Yang, Bin; Tian, Zhe; Liu, Jiying (Results in Engineering (RINENG);, Peer reviewed; Journal article, 2024)The utilization of radiant floor systems is one effective method to address the increasing cooling demand. The radiant floor cooling system (RFCS) has self-regulating capabilities, which benefit grid stability and the use ... -
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Lu, Shengze; Zhou, Shiyu; Ding, Yan; Kim, Moon Keun; Yang, Bin; Tian, Zhe; Liu, Jiying (Results in Engineering (RINENG);, Peer reviewed; Journal article, 2025)With the rapid development of the artificial intelligence (AI) technology, its application in optimizing heating, ventilation and air-conditioning (HVAC) systems operation is becoming increasingly widespread. This study ... -
Optimizing long-term park-level integrated energy system through multi-stage planning: A study incorporating the ladder-type carbon trading mechanism
Li, Kaiyue; Ran, Jingyu; Kim, Moon Keun; Tian, Zhe; Liu, Jiying (Peer reviewed; Journal article, 2024)The integrated energy system is widely acknowledged as an effective method for advancing the adoption of renewable energy sources and reducing carbon emissions. To address economic issues caused by the inconsistency between ... -
A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions
Chen, Guanzhong; Lu, Shengze; Zhou, Shiyu; Tian, Zhe; Kim, Moon Keun; Liu, Jiying; Liu, Xingfeng (Peer reviewed; Journal article, 2025)The rapid development of machine learning and artificial intelligence technologies has promoted the widespread application of data-driven algorithms in the field of building energy consumption prediction. This study ...