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SSCAtlas

Ladakh - Energy Transition

All statesUnion Territory · LA

Ladakh — Energy Transition Snapshot

Generated 1 May 2026
RE share (latest)
Fuel-mix payload unavailable for state.
RE trend (recent window)
Fuel-mix payload unavailable.
Peak deficit p95
POSOCO PSP has no rows for state.
Carbon intensity (avg)
27.4 gCO2/kWh
as of 2026-05-01T01:00:00+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

Ladakh is a Union Territory in India's Northern Region (NR) grid zone, operating as a high-altitude, geographically isolated system with extremely limited indigenous generation capacity and heavy dependence on central sector allocations and inter-state transmission corridors. The UT's grid footprint is among the smallest in the country by both installed capacity and peak demand. The single available metric from the live Atlas feed—an average carbon intensity of 27.4 gCO2/kWh over the recent ~48h window—is the headline number: it is exceptionally low relative to the NR grid average, consistent with a supply mix dominated by run-of-river hydropower. Fuel-mix, peak-deficit, real-time demand, and open-access charge data are all unavailable from current Atlas endpoints, leaving carbon intensity as the sole quantitative anchor for this snapshot. Structural data gaps across AT&C losses, RPO compliance, residential tariff, and demand CAGR prevent a full cross-dimensional assessment at this time.

Demand & Supply

Real-time demand telemetry is not available for Ladakh from the current Atlas SLDC feed, and fuel-mix payload returned zero slices for the UT (chart_hints: fuel_mix_slices = 0). Peak-deficit history is likewise absent (peak_deficit_points = 0), with POSOCO PSP returning no rows for the UT. As a result, no MW-level demand figure, no generation-mix breakdown, and no peak-shortage percentage can be reported without risking fabrication. What the demand history time-series does confirm is the existence of 47 data points in the demand history array, indicating some telemetry infrastructure exists, but no values were surfaced to the metrics layer. The carbon intensity figure of 27.4 gCO2/kWh (~48h average as of 2026-05-01) is indirectly informative: at this intensity level, the effective supply reaching Ladakh is heavily weighted toward low-carbon sources—consistent with hydro-dominated central allocations. Multi-year demand CAGR is not computable; the Atlas long-term aggregator is not yet integrated. IEX DAM prices for the NR zone are also unavailable due to an empty upstream feed, precluding any spot-market context for supply procurement.

RE & Transition

The single quantitative signal available for Ladakh's transition posture is an average carbon intensity of 27.4 gCO2/kWh over the recent ~48h window (as of 2026-05-01T01:00:00Z). This is a materially low figure. For context within the NR zone, coal-heavy grids typically register 600–800 gCO2/kWh; Ladakh's reading at 27.4 gCO2/kWh indicates a supply mix that is almost entirely decarbonised at the point of measurement. The most plausible explanation is a high share of hydropower from central sector allocations, though the fuel-mix payload returned no data slices, so a precise RE-share percentage cannot be stated. RE share (latest and recent-window delta) is not available—data not yet integrated. RPO compliance is similarly unavailable; the state RE policy dataset has not yet been integrated (see IEA-58). Without a long-term demand CAGR or multi-year generation aggregator, directional statements about the pace of transition cannot be supported numerically. The 27.4 gCO2/kWh reading should be treated as a snapshot, not a trend, given the ~48h window.

DISCOM Health

Ladakh's DISCOM health cannot be assessed across most standard dimensions from current Atlas data. Open-access charge data is unavailable for the UT—no OA stack (CSS, wheeling, transmission, losses) figure can be cited. AT&C loss data (UDAY dataset) is not yet integrated into Atlas (IEA-57), and the residential tariff endpoint requires an API key not yet provisioned (tools-api gap). Peak-deficit p95 is also absent, with POSOCO PSP returning no rows. The combined effect is that cost-of-power, distribution efficiency, and reliability signals are all dark for this UT. The 27.4 gCO2/kWh carbon intensity is the only available proxy for supply-side quality, and it speaks to fuel mix rather than DISCOM operational performance. Any assessment of subsidy burden, cross-subsidy structure, or AT&C-driven financial stress requires integration of IEA-57, the residential tariff API key, and the POSOCO PSP data for Ladakh specifically before meaningful numbers can be published.

Outlook

With only one metric available—27.4 gCO2/kWh carbon intensity over a ~48h window—the outlook for Ladakh must be framed around structural characteristics rather than metric-driven projections. The low carbon intensity is consistent with a supply base that is already largely decarbonised, reducing the near-term pressure to add variable renewable capacity purely for emissions compliance. However, the near-total absence of live data infrastructure (no SLDC feed, no POSOCO PSP rows, no OA charge stack, no tariff data) is itself a risk signal: grid operators, investors, and policymakers are making decisions without a real-time quantitative foundation. Priority actions for the 1–3 year window are: (1) integrate Ladakh-specific POSOCO PSP rows to establish a peak-deficit baseline; (2) provision the Atlas tariff API key to surface residential tariff structure; (3) complete IEA-57 (AT&C losses) and IEA-58 (RPO compliance) integrations to enable DISCOM health monitoring. Until those gaps close, no capital allocation or policy recommendation can be grounded in Ladakh-specific numbers.

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.
  • 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).
  • Multi-year demand CAGR: Atlas long-term aggregator not yet exposed (only ~48h realtime available).