Table 4 Updated loads after adding alternative loads for case study #1.
From: Towards autonomous energy management: machine learning for effective auditing and optimization
# | Name | Type | Qty | Power (W) | Time (Hrs) | Efficiency |
|---|---|---|---|---|---|---|
1 | LED Bulb (Soft White) | light | 35 | 5 | 14 | 72 |
2 | PAR38 LED | light | 40 | 1 | 14 | 98.5 |
3 | CS/CU-XU18XKY | TV | 3 | 127 | 8 | 80 |
4 | Q80A | TV | 3 | 111 | 7 | 91 |
5 | AC | AC | 3 | 1569 | 6 | 86 |
6 | AC 1.5hp | AC | 2 | 1005 | 6 | 95 |
7 | FTXM R32 | HVAC | 4 | 500 | 7 | 96.33 |
8 | XE 9000BTU | HVAC | 5 | 509 | 7 | 97.55 |
