Day-ahead optimization
Generate a cost-optimal, generator-wise MW schedule for every demand block using declared capacity and applicable constraints.
Decision intelligence for power procurement
Schedule every block with greater confidence.
Convert demand, declared capacity, contracts and market signals into a cost-optimal generator-wise schedule—while respecting the constraints that govern real power procurement.
The operational challenge
Many supply options. One executable schedule.
Power procurement teams must continuously balance block-wise demand with generator availability, contractual obligations, market opportunities and deviation exposure. Spreadsheet-led workflows make it difficult to compare every feasible option consistently and quickly.
Panacean’s scheduling approach brings these inputs into an integrated mathematical model, producing an auditable plan for day-ahead and intraday decisions.
Platform capabilities
Built around the way utilities procure power.
Configurable models reflect the commercial and operational rules relevant to each utility rather than forcing decisions into a generic workflow.
Intraday rescheduling
Re-evaluate the position as demand, availability and market conditions change, supporting timely revision and bidding decisions.
PPA modelling
Represent contract-specific terms, variable charges, must-run obligations, minimum schedules and other commercial conditions.
Market intelligence
Use historical power-exchange and deviation-price patterns to inform indicative purchase and sale opportunities.
Block-wise cost analysis
Estimate procurement expenditure by time block and compare available supply, exchange and surplus-management options.
Decision-ready reports
Summarize schedules, source mix, cost and market actions across days or longer periods for review and governance.
From inputs to action
A transparent optimization workflow.
Build the operating picture
- Block-wise demand forecast
- Generator declared capacity
- PPA and variable-cost data
- Market and deviation prices
Model every material constraint
- Merit-order logic
- Contractual conditions
- Supply and demand balance
- Purchase-cost minimization
Move from analysis to schedule
- Generator-wise schedule
- Purchase and sale indication
- Block-wise cost estimate
- Exception and summary reports
Designed for operating teams
Useful at the desk where decisions happen.
The solution supports teams responsible for planning supply, managing contracts, placing market bids and reviewing procurement cost.
Implementation approach
Configured around your data and rules.
01Discover
Map sources, contracts, scheduling practices, constraints, data ownership and approval workflows.
02Model
Translate commercial and operational rules into a validated optimization formulation.
03Integrate
Connect input templates, market data, forecasts and reporting requirements into the workflow.
04Validate
Back-test scenarios, compare existing schedules and confirm outputs with operating teams.
05Operate
Deploy, train users and refine the model as contracts and market conditions evolve.
Make the next schedule measurable