Energy Monitoring & Prediction

Track plant performance, forecast production demand and find savings before they cost you.
Data updated 2 min ago · 3 production lines online
⚡
Plant energy use
516,667 kWh
Recorded 372,000 kWh · Forecast 144,667 kWh
↑ 3.2% vs June
▤
Estimated electricity bill
RM 235,700
At RP4 tariff 45.62 sen/kWh + capacity charge
↑ 3.2% vs June
◔
Near threshold
Peak demand
1,412 kW
Recorded 18 Jul · 2:30 PM
Maximum demand threshold 1,600 kW
RM 18,400 penalty risk if exceeded
◎
Model healthy
Forecast accuracy
94.2 %
wMAPE 5.8% · last completed period
Trained on 18 months of interval data
Recorded vs Forecast
Machine-learning forecast from validated interval data
24,00020,000 16,00012,0000 Today · Jul 23 Jul 1Jul 5Jul 9 Jul 13Jul 17Jul 21 Jul 25Jul 29
Recorded
ML forecast
Confidence range
Weekend dips reflect single-shift operation.
AI Peak Optimisation — June 2026
Simulated peak shaving and load shifting. No control changes applied.
Completed month
1,8001,4001,000 MD threshold 1,600 kW 00:0006:0010:00 15:0020:00
Without optimisation
With peak shaving
Maximum demand threshold
✓
Peak reduced by 186 kW without slowing any line
Chiller pre-cooling + compressor staging shifted out of the 2–4 PM window
RM 18,400
penalty avoided / yr
Prediction health
FebMarApr MayJun
May accuracy92.8%
June accuracy94.2%
Healthy target≥ 90%
Retraining threshold< 85%
✓ Pipeline up to date
Retraining not required
Line-level demand
Where the load actually sits
Injection moulding · Line A
12 machines · 2 shifts
466 kW
33% of load
SMT & reflow · Line B
E&E assembly · 3 shifts
367 kW
26% of load
Chillers & HVAC
Process + comfort cooling
296 kW
21% of load
Air compressors
Leak detection active
184 kW
13% of load
Lighting & ancillary
Warehouse + office
99 kW
7% of load
◷ Line A is the largest single reduction opportunity this quarter.