A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings

• المؤلفون الرئيسيون: Chaudhuri, Tanaya, Soh, Yeng Chai, Li, Hua, Xie, Lihua
• مؤلفون آخرون: Interdisciplinary Graduate School (IGS)
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Mechanical engineering; Indoor Climate Control; Thermal Comfort
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/151121
• المؤسسة: Nanyang Technological University

Building air-conditioning and mechanical ventilation (ACMV) systems are responsible for significant energy consumption and yet, dissatisfaction with the thermal environment is prevalent among the occupants, revealing a widespread disparity between energy-efficiency and indoor thermal-comfort in buil...