Power-Net AI
AI-powered remote monitoring, generation cost modeling and decision support for Bangladesh's power sector
Piloting at 3 BPDB power plants: coal, oil and gas.
- Pilot plants (coal, oil and gas)
- 3
- Parameters monitored per plant
- 65
- Partner institutions
- 4
The problem
No real-time monitoring
Plant performance is reviewed after the fact, so faults and inefficiencies are found late.
Static, manual cost models
Generation costs are worked out in spreadsheets that cannot follow changing fuel prices, loads or plant condition.
High costs and load shedding
Rising generation costs and peak-hour load shedding put pressure on the grid and on consumers.
Limited transparency
Decisions on capacity, tariffs and procurement rest on data that few stakeholders can see or check.
What we are building
Where we are
Month 13 of 36
- PPA Review & AI-Powered Support Implementation
- Training, Workshop & Seminar
- Web-based Monitoring Platform & Device Development
- AI Integration in Cost Modeling, Decision Support & Monitoring
Partners
- Daffodil International University (DIU), EEE Dept.
- Bangladesh Power Development Board (BPDB)
- Bangladesh Computer Council (BCC)
- Bangladesh Energy and Power Research Council (BEPRC)