1. System overview 2011/03/04 1 NTU CSIE iAgent Lab AC state predictor thermal comfort calculator AC waste analysis AC information thermal comfort questionnaire T outdoor motion sensor state AC state thermal comfort range T indoor proportion of AC waste

2. Condition of AC  waste situation 1. m n = no and (y n = 1 or y n = 2) 2. m n = yes and y n = 2 and T indoor < T comfortableRange  abnormal situation 3. m n = yes and y n = 2 and T indoor > T comfortableRange 2011/03/042NTU CSIE iAgent Lab

3. 顯示 ( 非及時 )  區域 (zone) - 各種空調、有 / 無人狀態比例 - 三種空調浪費情況比例 ( 前頁 ) - 周一至周日每個時段 ( 小時 ) 的空調浪費情況次數 - 周間與周末每個時段 ( 小時 ) 的空調浪費情況次數  房間 (room) - 三種空調浪費情況比例 -1. 該房間每個區域的 m n = 0 且 至少有一區域的 y n ≠ 0 -2. 在 m n =1, y n =2 的區域中, 符合 T indoor < T comfortableRange 的區域數大於等於 50% -3. 在 m n =1, y n =2 的區域中, 符合 T indoor > T comfortableRange 的區域數大於等於 50% - 周一至周日每個時段 ( 小時 ) 的空調浪費情況次數 - 周間與周末每個時段 ( 小時 ) 的空調浪費情況次數 2010/10/143NTU CSIE iAgent Lab

4. 顯示 ( 及時 ) 4 AC state predictor thermal comfort calculator AC waste analysis AC information thermal comfort questionnaire T outdoor motion sensor state AC state thermal comfort range T indoor proportion of AC waste T comfort = a × T outdoor + b offset of the range machine learning model calculating program

5. Display (history)  zone -percentage of each state (ac, motion) during a period -percentage of each waste situation during a period (previous) -from Monday to Sunday, the count of each waste situation for each time interval (hour)  room -percentage of each waste situation during a period -1. every zone in the room that m n = 0 and there exists at least one zone that y n ≠ 0 -2. within the zones (m n =1, y n =2), calculate number of the zones that conform to T indoor < T comfortableRange more than 50% or not -3. within the zones (m n =1, y n =2), calculate number of the zones that conform to T indoor > T comfortableRange more than 50% or not -from Monday to Sunday, the count of each waste situation for each time interval (hour) 2010/10/145NTU CSIE iAgent Lab