Forecast. Optimise. Trade. Settle. One intelligent loop.
Agrim Energy Analytics builds AI-native decision intelligence for power procurement. Machine-learning forecasts, a mathematically optimal procurement schedule, exchange-ready bids and meter-to-market settlement, all on one data model.
Power purchase is the largest cost a utility controls, and it is decided 96 times a day.
Exchange prices can move from near the floor to the price cap within hours, renewable output shifts with the weather, and every deviation is penalised. Most utilities still plan in spreadsheets.
Fragmented tools
Forecasting, scheduling, trading and settlement live in separate systems, so decisions are made on stale or inconsistent data.
Savings left on the table
Rule-of-thumb scheduling misses cheaper combinations of contracted power, hydro, thermal and the exchanges.
Errors surface late
Metering, billing and deviation mismatches are found weeks later, after the money has moved.
A closed decision loop, from data to settlement
Each stage feeds the next on a single data model, and settlement feeds what actually happened back into the forecasts.
Ingest
Grid, market, weather, meter and contract data, validated and versioned.
Forecast
Probabilistic demand and price forecasts for every 15-minute block.
Optimise
The least-cost mix of every source, solved as one mathematical programme.
Trade
Exchange-format buy and sell bids prepared from the optimal schedule.
Settle
Scheduled, metered and billed energy reconciled; deviations accounted.
Explain
An AI analyst answers questions in plain English, citing its data.
Modules that work alone or as one system
Start with the module that solves today's problem; each one plugs into the same data model as you grow.
Demand forecasting
Machine-learning ensembles over weather, calendar and grid drivers, with P10–P90 bands and intraday re-forecasting.
Price forecasting
Block-wise exchange price forecasts for the DAM, RTM and intraday segments, aware of price caps and market regimes.
Procurement-cost optimisation
Mixed-integer linear programming that schedules contracts, hydro, thermal and exchange trades across all 96 blocks.
Energy settlement & reconciliation
Scheduled vs metered vs billed energy, deviation (DSM) accounts and bill verification, block by block.
Energy division mapping
Division- and feeder-wise energy accounting that pinpoints where losses and mismatches arise.
Metering & billing analytics
AI-assisted meter-data validation, estimation and editing, with automated billing checks.
Econometric & statistical analysis
Regression and correlation studies of what drives prices, demand and cost, for planning and regulatory filings.
AI analyst
Ask "why did cost rise yesterday?" and get an answer grounded in the platform's own data, with sources.
Energy-park optimisation In development
Co-optimising solar, wind, storage and grid sale for renewable energy parks.
Machine learning where it predicts, mathematics where it decides
Forecasts are learned from data; decisions are computed by an optimiser that can prove how close it is to the best possible answer.
Forecasting engine
Gradient-boosted ensembles and statistical baselines trained on weather, calendar, grid and market signals.
- Probabilistic outputs (P10, P50, P90) rather than a single guess
- Rolling intraday re-forecasts as new actuals arrive
- Held-out back-testing on unseen periods before any model goes live
Optimisation engine
A mixed-integer linear programme with tens of thousands of variables, solved for the full day at block resolution.
- Certified optimality gap on every solve, so the answer is provably near-best
- Multi-day horizons that look ahead before spending scarce resources
- Every constraint traceable to a contract, a regulation or a physical limit
Built for India's market design
The rules of Indian power markets are modelled directly, not approximated.
- Hydro water budgets allocated across the blocks where they are worth most
- Thermal unit constraints: technical minimum, ramp rates and start-ups
- Central-share surrender, two-way exchange trading and CERC deviation rules
Explainable and auditable
Built for finance teams and regulators who need to see why, not just what.
- Every figure labelled live, actual, forecast or synthetic
- Counterfactual audit re-solves past days to value each decision in rupees
- Role-based access, audit trails and versioned master data
What no single existing tool offers
Closed loop
Forecast, optimise, trade and settle on one data model, not four disconnected tools.
Provably optimal
A certified optimiser, not heuristics or rules of thumb.
India-native
Hydro budgets, unit constraints, exchange and deviation rules modelled as they are.
Value you can audit
Counterfactual re-solves put a rupee value on every past decision.
Explainable AI
Plain-English answers with sources, and clear labels on every number.
For everyone who buys, sells, schedules or settles power
Distribution utilities
Lower power-purchase cost and day-ahead planning that holds up to scrutiny.
Load despatch centres
Sharper demand forecasts and a clear view of the state's position, block by block.
Power traders
Price forecasts, bid preparation and automated reconciliation of every trade.
Open-access & C&I consumers
Buy from the exchange or the grid at the right time, and verify every bill.
Renewable energy parks
Generation forecasting, deviation control and storage and sale optimisation.
From first conversation to live operations
We start small, prove value on your own data, then scale.
Discovery
Understand your portfolio, contracts, data sources and the decisions that matter most.
Data onboarding
Connect grid, market, meter and contract data; build your master data and division mapping.
Back-tested pilot
Run the platform on your own history and show, day by day, what it would have changed.
Go live and scale
Daily forecasts, schedules, bids and settlement in production, with continuous model monitoring.
See the platform on your own data
Tell us about your portfolio and the decisions you want to improve. We will show you a back-tested walkthrough.
- Company
- Agrim Energy Analytics LLP
LLPIN ADC-7578 - Based in
- New Delhi, India