Which coal mix gives the lowest delivered energy cost?
Sourcing, contracts and grade choice on landed cost per usable GCal — not price per tonne.
Power & Energy decision intelligence
Optimise the full cost of serving power.
Connect demand forecasts, market bids, generation, fuel sourcing, blending, logistics and ash economics in one decision architecture — and see the trade-offs before the operating day makes them expensive.
- Fuel side Coal sourcing → rail & road logistics → stock & blending → own generation → ash
- Demand side 96-block demand forecast, net of contracts
- Power position cost + risk of serving demand, block by block
- Market side day-ahead and real-time buying, surplus and export
- Live
96 blocks a day
Fifteen-minute day-ahead load forecasts, delivered daily to an Indian power utility.
- Live
96.8%
Average block-level forecast accuracy across counted live days.
- Shadow-tested
Seconds
To build a constraint-aware day-ahead bid pack — a job that takes the desk 45–60 minutes by hand.
One operating day
Follow a forecast into a decision.
Ninety-six blocks of demand, three ways to meet them, one corridor to the market. Change what happens tomorrow and watch the position, the bid pack and the recommendation move together.
How to read this example
- Market requirement · proposed bids
- Energy the plan asks the day-ahead market for, within the corridor. A request, not cleared energy.
- Unbid residual
- Small pieces of the requirement (under 5 MW) that the bid pack leaves out. A packing remainder, not a supply gap.
- Uncovered energy
- Demand that available units and the import corridor cannot meet day-ahead. A physical gap to cover in the real-time market or a contingency plan — not assumed to clear anywhere.
- Illustrative expected cost
- Variable generation plus market purchases at assumed prices. Not a settled or realised cost.
1 96-block outlook MW per block
Contracts & solarOwn generationMarket requirementUncovered energyDemand forecast ±3%Normal day
2 Net position for the day
3 Market bid proposal day-ahead
The same forecast feeds how much to buy, which units to run and what the fuel plan has to deliver. Optimised separately, each desk can be right and the utility still pays too much. Optimised together, the trade-offs are visible while there is still time to act on them.
Coal to power to ash
One connected architecture for decisions that usually sit on separate desks.
Every one of these choices changes the cost of the others. UpSynQ is designed to optimise them as one system — usable energy, not tonnes; the whole day, not one block.
Fuel
Will the rakes arrive in time — and at what cost?
Mine or port to siding to plant: ETA, handling capacity, freight and demurrage.
What should we blend and burn this week?
Lot inventory, GCV, ash and moisture, within boiler and plant limits.
Generation & position
Which units are ready, and how hard can we run them?
Availability, heat rate, ramp and minimum load, fuel cover per plant.
What should we generate versus buy tomorrow?
The 96-block forecast, net of contracts, against own units, back-down and market prices.
Market & by-products
Where is the risk of being short — or carrying surplus?
Day-ahead and real-time bids, surplus and export, corridor limits and settlement exposure.
What is the best offtake and truck plan for ash?
Ash forecast from the burn plan, buyers, storage, dispatch and compliance — at the best net realisation.
In operation
From the system control desk of an Indian power utility.
Live Day-ahead load forecasting
Every day, a forecast for all 96 blocks of the next day is delivered to the desk through a working forecast portal, versioned so every number can be traced back to the run that produced it. Accuracy is tracked block by block and by time of day — where the evening transition and the day boundary are hardest.
96.8% average block-level accuracy across counted live days
Shadow-tested Day-ahead bid construction
A constraint-aware engine turns the forecast's net requirement into a feasible pack of block and single bids within the desk's bid-count and corridor rules — in seconds rather than the 45–60 minutes it takes by hand. It has been run against historical days; live trading trials are the next step.
Seconds to a feasible bid pack
Why connect them
A fresher forecast changes the net power need; the net need changes the bid; the bid's cost depends on what the units can do — and the units on what the fuel plan delivers. Forecasting and bidding are where the chain starts. The same architecture runs upstream to coal and downstream to ash.
Talk to UpSynQ
The power position changes. Your decisions should change with it.
Bring one decision — tomorrow's procurement, a unit outage, a coal blend, an ash contract — and we'll show what it looks like with forecasts, constraints and costs in one place.