Modeler is a powerful, cloud-based energy market simulation engine providing analytics and decision support for India's energy markets, operations and policies, using real data.
Used by teams at
Modeler uses India Energy Atlas records for network, system, market, weather and forecast inputs.
State and national demand, generation, fuel mix, weather and network inputs are available in one catalogue.
IEX market products, price areas, renewable markets and hourly carbon intensity are available for studies.
Source, confidence, data status, forecast accuracy and calibration fields remain available for review.
Modeler supports policy, market and dispatch studies using India-specific data structures and operating rules.
Model emissions baselines, carbon prices and intensity targets for Indian Carbon Market compliance and offset assessments.
Connect utility, market and asset data through versioned interfaces aligned with India Energy Stack principles.
Replay 15-minute dispatch from post-RTM schedules with plant limits, ramps, reserves, declared costs and regional transfer constraints.
Guided studies cover project setup, data loading, BESS, data-centre assessment and GridAI operations.
Templates define the standard inputs, scenario structure and outputs for common studies.
Documented network, demand and generation inputs.
Location screening, storage dispatch and result comparison.
Nodal assessment for data centres, industry and other loads.
Corridor reinforcement and base-case comparison.
Dispatch and constraint analysis for outage cases.
Scenario analysis for policy targets and implementation plans.
Applied analysis using Indian power-market, demand, generation and system data.
A 100 MW four-hour battery is tested against India’s day-ahead price spread and an annual modelled case.
Read analysis
Market data shows how midday solar output has changed the shape of India’s day-ahead electricity prices.
Read analysis
Area-price separation is examined as a practical signal of transmission constraints in the power market.
Read analysis
Green market prices are compared with conventional power to assess the premium and its limits.
Read analysis
Demand, solar output and dispatch data identify the operational requirements of the evening ramp.
Read analysis
Price-ceiling events are reviewed to distinguish short-term scarcity from persistent system constraints.
Read analysisGridAI inspects models, prepares typed scenario changes, runs supported tools and compares results.
The standard workflow uses a web browser and managed cloud compute. The Atlas account connects the data catalogue, workspace and compute allocation.
Tutorials provide worked examples, operating guidance and troubleshooting information.
Open tutorialsYes. Modeler provides a browser-based workspace with managed cloud compute. Models, scenarios, runs and results are stored in the workspace.
India Energy Atlas supplies network assets, state and national demand, generation, fuel mix, IEX market, weather and forecast datasets. Source, coverage and data-status fields are retained where available.
No. The same model is available through graphical controls, GridAI and code.
GridAI can inspect a model, prepare typed edits, create scenarios, run supported tools and explain results. Changes remain available for review.
Modeler compute is available through eligible India Energy Atlas plans. Current prices and compute entitlements are listed on the pricing page.
Create a workspace or request an institutional demonstration.
