Today's state-level generation mix
Andhra Pradesh: Coal leads at 54%; renewables are 45%.
India Energy Atlas
India's Real-Time Energy Data Platform.
Hourly forecast
India demand · 2026-05-09
Peak DoY: 2026-05-06
Carbon intensity
Andhra Pradesh: now 538 g; cleanest at 09:00 IST, dirtiest at 04:00 IST (821 g); forecast high 657 g.
Live load by state
Rajasthan leads at 40.8 GW; 45 states reporting.
Demand — Peak / Avg / MinAll-India demand — Peak, Average, Minimum
Peak reached 256 GW on 25 Apr; latest average is 198 GW.
Grid stress & markets
Understand Indian grid stress
Live IEX clearing beside the historical price surface.
Latest IEX price
Rs 2,772/MWh
Retail equivalent
Rs 2.77/kWh
DAM average
Rs 2,504/MWh
DAM volume
129 GWh
DAM clearing — last 30 days
96 blocks/day
MCP (Rs/MWh)0-1k1-2k2-3k3-4k4-6k6-8k8k+
Energy Atlas Use-Cases
Data products built on the Atlas
Six product surfaces, one source of truth. Request access and we'll get back in two hours.
State & DISCOM demand, fuel-mix and carbon
Hourly state and DISCOM-level demand, generation mix and carbon intensity, with day-ahead forecasts.
Congestion, curtailment & flexibility forecast
Constrained corridors and forward curtailment risk that price data alone cannot reveal.
Open access & landed power cost
For a factory, data centre or commercial load — the real landed cost of grid, OA, group captive, exchange, BESS-backed RE and hybrid PPAs by state and DISCOM.
Regulation and policy as code
Tariff orders, OA charges, RPO, cross-subsidy and wheeling rules — versioned, machine-readable, queryable per state and DISCOM.
Forward curtailment & capture-rate risk
Hour-of-day capture-rate decay and curtailment exposure curves for solar, wind and hybrid assets across India.
Substation hosting capacity & injection limits
Substation- and feeder-level hosting capacity, dynamic thermal limits and injection-screen results for ISTS and intra-state transmission.
Build on India Energy Stack
Compose the grid in Python.
The IES-SDK is a thin Python builder over every Atlas surface — fuel mix, demand, carbon, capture rates, hosting capacity. One install, one key, every endpoint.
pip install india-energy-stack
from india_energy_stack import Atlas
atlas = Atlas(api_key="atlas_...")
mix = atlas.fuel_mix("rajasthan").latest()
print(mix.renewable_share, mix.coal_mw)India DC Review · Vol. 1 / 2026
India's data-centre build-out, told through its grid.
- 14
- Chapters
- 96
- Pages
- 60+
- Charts
- 28
- Maps
Where the pipeline lands, on whose substation, drawing from whose water basin. Independent research for energy planners, hyperscaler leads, and infrastructure investors.
Tools
Analyst Workflows directly into the platform
30+ AI-powered tools to make everyone's energy analytics easier - from home makers, business owners, to energy professionals and data center developers
Tool index
Browse the live toolkit
1 credit
Energy Bill Reduction Planner
Soon
Rooftop Solar ROI Advisor
Soon
EV Charging Cost Optimizer
5 credit
C&I Tariff & Load Optimizer
Soon
Open Access Migration Analyst
Soon
PPA / Energy Contract Reviewer
Soon
Demand Charge & BESS Sizing Planner
Soon
Storage Project Pro Forma
Soon
Renewable PPA Bid Strategist
Soon
Site Suitability Scout
Soon
DAM Trading Co-Pilot
Soon
Tariff Petition Analyzer
1 credit
State Energy Transition Snapshot
Contact and citation
Use the Atlas in reports, filings, classrooms and board decks.
Contact us by email at hello@energymap.in or WhatsApp at +91-9119114527.
How to cite
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