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SSCAtlas

Meghalaya - Energy Transition

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Meghalaya — Energy Transition Snapshot

Generated 1 May 2026
RE share (latest)
100 %
as of 2026-05-01T00:00:00+00:00
RE trend (recent window)
0 pp/window
as of 2026-04-29T03:00:00+00:00 -> 2026-05-01T00:00:00+00:00
Peak deficit p95
0 %
as of 2026-04-23
Carbon intensity (avg)
24.9 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

Meghalaya is a small, landlocked north-eastern state operating within the NER (North-Eastern Region) grid zone. Its defining characteristic is an effectively 100% renewable generation share as of the latest hourly slice (2026-05-01), driven overwhelmingly by run-of-river hydropower. The state's carbon intensity averaged 24.9 gCO2/kWh over the recent ~48h window—among the lowest observable values nationally—reflecting a fuel mix with negligible fossil content. Peak supply reliability is strong: the 95th-percentile peak deficit stands at 0.0% (POSOCO PSP data through 2026-04-23), meaning the grid met peak demand without recorded shortfall at that threshold. Real-time demand telemetry and open-access charge data are not available from current Atlas feeds, constraining granular supply-demand analysis. Meghalaya's grid posture is therefore one of clean, hydro-anchored generation with adequate near-term reliability, but systemic visibility gaps—AT&C losses, tariff structure, RPO compliance—leave the commercial and financial health of its DISCOM largely uncharacterised.

Demand & Supply

Meghalaya's generation mix registers 100.0% renewable share in the latest hourly slice (2026-05-01), with the recent ~48h window delta at 0.0 pp—indicating no directional shift within that observation window. The fuel mix is structurally hydro-dominated, consistent with the state's river-basin geography in the NER zone. Real-time demand telemetry is not available for Meghalaya (live SLDC feed not integrated), so absolute MW demand cannot be anchored to a current figure. The 23-point POSOCO PSP series through 2026-04-23 shows a peak deficit p95 of 0.0%, indicating that the state met its peak demand obligations without recordable shortfall at the 95th percentile across that sample. This is notable given the hydro-dependency: run-of-river output is seasonally variable and monsoon-contingent, and the 0.0% deficit figure reflects the current pre-monsoon/early-season period. Whether this adequacy is sustained through lean-flow months cannot be assessed from the ~48h real-time window alone. Multi-year demand CAGR data is not yet integrated in Atlas, so structural demand growth pressure remains unquantified. The IEX DAM price feed for the NER zone is currently empty, removing the exchange-price signal as a supplementary supply-side indicator.

RE & Transition

Meghalaya records a 100.0% RE share in the latest hourly generation slice (2026-05-01). The recent ~48h window delta is 0.0 pp, meaning the share held flat across that observation period—this is a short-window snapshot, not a multi-year trend, and the Atlas system does not yet expose a long-term aggregator to characterise directional trajectory over years. Carbon intensity averaged 24.9 gCO2/kWh over the recent ~48h window, consistent with a predominantly hydro-based mix carrying minimal fossil dispatch. At this intensity level, the grid-average emission factor is well below the national coal-heavy baseline, placing Meghalaya among the lowest-emitting state grids in observational terms. RPO compliance data is not yet integrated (IEA-58), so formal regulatory performance against renewable purchase obligations cannot be assessed. The combination of 100% instantaneous RE share and 24.9 gCO2/kWh intensity is structurally strong, but hydro-concentration introduces seasonal and hydrological risk that cannot be captured in a 48h window. Absence of multi-year CAGR data also means it is not possible to assess whether rising demand is being met by new RE capacity additions or by increased reliance on inter-state draws from the NER pool.

DISCOM Health

The available metrics provide limited visibility into Meghalaya's DISCOM financial and operational health. On the supply-reliability dimension, the peak deficit p95 of 0.0% (POSOCO PSP, through 2026-04-23) signals adequate peak coverage in the near-term sample, which is a positive indicator for DISCOM procurement management. Open-access charge stack data (CSS, wheeling, transmission, losses at HT voltage) is not available for Meghalaya in the current Atlas feed, removing the primary proxy for commercial cost-of-power signals and OA market activity. AT&C loss data (UDAY dataset, IEA-57) is not yet integrated, leaving the DISCOM's distribution efficiency and commercial recovery rate uncharacterised—a critical gap for any assessment of financial sustainability. Residential tariff data is also unavailable (Atlas tariff endpoint not yet provisioned), precluding analysis of cost-reflectiveness or subsidy burden. In aggregate, the observable data supports an adequately supplied state grid with a clean fuel mix, but the core financial health indicators—losses, tariff adequacy, subsidy exposure—remain outside the current data perimeter.

Outlook

Over a 1-3 year horizon, Meghalaya's grid enters the period from a position of full renewable coverage (100.0% RE share, latest slice) and near-zero recorded peak deficit (p95 = 0.0%). Carbon intensity at 24.9 gCO2/kWh is structurally low and unlikely to deteriorate absent large thermal capacity additions, which the current mix does not suggest. The primary structural risk is hydro-concentration: seasonal flow variability can shift the supply-demand balance materially, and the 48h observation window is insufficient to assess multi-year adequacy. Demand growth trajectory is unquantifiable without the multi-year CAGR aggregator. The absence of AT&C loss, residential tariff, and RPO compliance data means DISCOM financial resilience and regulatory standing cannot be evaluated—these gaps should be treated as priority data-provisioning items before any capital allocation or policy decision is made. The IEX NER zone DAM price feed being empty also removes the market-price signal that would indicate whether the state is a net buyer or seller in exchange markets. The 0.0% peak deficit figure warrants monitoring through the lean-hydrology months to confirm it is structurally robust rather than seasonally favourable.

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).