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SSCAtlas

Maharashtra - Energy Transition

All statesState · MH

Maharashtra — Energy Transition Snapshot

Generated 1 May 2026
RE share (latest)
13.4 %
as of 2026-05-01T00:00:00+00:00
RE trend (recent window)
-9.42 pp/window
as of 2026-04-29T03:00:00+00:00 -> 2026-05-01T00:00:00+00:00
Peak deficit p95
POSOCO PSP has no rows for state.
Carbon intensity (avg)
733.1 gCO2/kWh
as of 2026-05-01T00:00:00+00:00
Latest demand
Real-time demand telemetry not available for state.
OA charge (HT)
Open-access charges unavailable for state.
Avg residential tariff
Residential tariff: Atlas tariff endpoint requires X-API-Key not yet provisioned for tools-api.
AT&C loss (latest)
DISCOM AT&C losses (UDAY): Atlas endpoint not yet integrated (see IEA-57).
RPO compliance
RPO compliance: state RE policy dataset not yet integrated (see IEA-58).
10-yr demand CAGR
Multi-year demand CAGR: Atlas does not yet expose a long-term aggregator (only ~48h realtime).
Avg DAM price
IEX DAM price: upstream IEX area-prices feed currently empty.

Carbon intensity (recent ~48h)

Generation mix (latest)

Peak deficit history (%)

Overview

Maharashtra, India's largest state economy by GDP, sits in the Western Regional (WR) grid and operates one of the country's most complex multi-utility supply architectures, served primarily by MSEDCL and supplemented by Tata Power and Adani Electricity in licensed zones. As of 2026-05-01, renewable energy accounts for 13.4% of the state's generation mix in the latest hourly slice, against a carbon intensity of 733.1 gCO2/kWh averaged over the recent ~48h window—a figure consistent with heavy reliance on coal-based thermal capacity. The state's installed base spans large thermal plants (Koradi, Parli, Nashik, Bhusawal), substantial hydro assets, and a growing wind-solar portfolio concentrated in Satara, Dhule, and Osmanabad districts. Maharashtra's scale makes it a bellwether for WR grid dynamics, and its generation posture carries material implications for both national carbon accounting and Western Region frequency management.

Demand & Supply

Real-time demand telemetry (latest_demand_mw) is not available for Maharashtra in the current Atlas feed, precluding an MW-level anchor for this snapshot. The fuel mix as of 2026-05-01 is dominated by thermal generation, with renewables contributing 13.4% of the instantaneous mix. Over the recent ~48h window (2026-04-29T03:00 to 2026-05-01T00:00 UTC), the RE share declined by 9.4 percentage points—a short-window delta that likely reflects diurnal solar withdrawal and/or a shift in thermal scheduling rather than any structural change. Peak deficit data (POSOCO PSP) returned no rows for Maharashtra in this pull; the p95 peak shortage metric is therefore unavailable for this snapshot, and supply-adequacy conclusions cannot be drawn from this dataset alone. The carbon intensity of 733.1 gCO2/kWh over the same window is consistent with a generation stack where coal-fired units are dispatching at high utilisation. Six fuel-mix slices are available in the chart series, providing intra-day compositional context, but no multi-year demand CAGR is computable from the current Atlas endpoints.

RE & Transition

Maharashtra's RE share stands at 13.4% in the latest hourly slice as of 2026-05-01—a point-in-time reading that does not represent an annual or installed-capacity figure. Over the recent ~48h window, RE share contracted by 9.4 pp, driven most plausibly by overnight solar absence and thermal re-dispatch; this is a short-window delta, not a multi-year trend. The average carbon intensity of 733.1 gCO2/kWh over the same window positions Maharashtra among the more carbon-intensive grids in the WR zone, consistent with its large pit-head and coastal coal fleet. Two critical transition metrics are absent from this snapshot: RPO compliance data is not yet integrated (IEA-58), making it impossible to assess whether Maharashtra's utilities are meeting their statutory renewable purchase obligations; and the multi-year demand CAGR aggregator is not yet exposed by Atlas, preventing any growth-trajectory analysis to contextualise the RE ramp required. Transmission ATC data (IEA-56) is also unavailable, which limits assessment of whether grid infrastructure is constraining renewable absorption. The directional signal from the 48h window—a steep RE share decline—warrants monitoring but should not be extrapolated.

DISCOM Health

The available metrics offer limited direct visibility into DISCOM financial health for this snapshot. Open-access charge data (CSS + wheeling + transmission + losses at HT voltage) is unavailable due to a network timeout on the OA charges endpoint, removing the primary proxy for cost-of-power signals and OA market competitiveness. Peak deficit (p95) is also unavailable—POSOCO PSP returned no rows—so reliability-based inference about DISCOM procurement adequacy is not possible here. AT&C losses (UDAY dataset, IEA-57) are not yet integrated into Atlas, precluding any assessment of distribution efficiency or commercial loss trajectory. Residential tariff data requires an API key not yet provisioned, so cross-subsidisation and household burden analysis cannot be performed. DAM price data is unavailable due to an empty IEX feed. In aggregate, this snapshot can confirm only that carbon intensity at 733.1 gCO2/kWh signals a high-cost thermal fuel stack, but the financial and operational health indicators for MSEDCL and other DISCOMs require the pending data integrations to be actionable.

Outlook

Over a 1-3 year horizon, Maharashtra's energy posture will be shaped by three observable axes. First, the 13.4% RE share in the current mix and the 9.4 pp recent-window contraction together underscore the state's ongoing dependence on thermal dispatch for baseload reliability; absent RPO compliance data, the pace of mandated RE addition cannot be verified from this dataset. Second, at 733.1 gCO2/kWh, the carbon intensity of Maharashtra's grid is high relative to national decarbonisation targets, and any industrial or data-centre load growth will amplify this exposure—though demand CAGR is not computable from current feeds. Third, the absence of open-access charge data, AT&C loss figures, and DAM pricing means that cost-of-supply signals and DISCOM fiscal trajectories remain opaque at this time. Priority data integrations for the next snapshot cycle should be: POSOCO PSP rows for Maharashtra (peak deficit), UDAY AT&C endpoint (IEA-57), OA charge stack, and the long-term demand aggregator. These would materially sharpen both investment and policy assessments.

Data gaps in this brief

  • Transmission ATC: Atlas endpoint not yet integrated (see IEA-56).
  • DISCOM AT&C losses (UDAY): Atlas endpoint not yet integrated (see IEA-57).
  • RPO compliance: state RE policy dataset not yet integrated (see IEA-58).
  • Subsidies / incentives: state catalogue not yet integrated (see IEA-59).
  • Residential tariff: Atlas tariff endpoint requires X-API-Key not yet provisioned for tools-api.
  • Multi-year demand CAGR: Atlas does not yet expose a long-term aggregator (only ~48h realtime).
  • IEX DAM price: upstream IEX area-prices feed currently empty.
  • posoco_psp: network: ReadTimeout:
  • open_access_charges: network: ReadTimeout:
  • iex_area_prices: network: ReadTimeout:
  • Transmission ATC: Atlas endpoint not yet integrated (IEA-56).
  • DISCOM AT&C losses (UDAY): Atlas endpoint not yet integrated (IEA-57).
  • RPO compliance: state RE policy dataset not yet integrated (IEA-58).
  • Subsidies / incentives: state catalogue not yet integrated (IEA-59).
  • Residential tariff: Atlas tariff endpoint requires X-API-Key not yet provisioned.
  • Multi-year demand CAGR: Atlas long-term aggregator not yet exposed.
  • POSOCO PSP peak deficit: network ReadTimeout; no rows returned for Maharashtra.
  • Open-access charges: network ReadTimeout; endpoint did not return data.
  • IEX area prices: network ReadTimeout; feed currently empty.