Arunachal Pradesh — Energy Transition Snapshot
Generated 1 May 2026Carbon intensity (recent ~48h)
Generation mix (latest)
Peak deficit history (%)
Overview
Arunachal Pradesh sits at the northeastern periphery of the Indian grid, embedded in the NER (North-Eastern Region) IEX zone—a zone characterised by relative isolation from the main inter-regional transmission corridors and chronic under-investment in evacuation infrastructure. The state's headline number is unambiguous: 100.0% of generation captured in the latest hourly fuel-mix slice is classified as renewable energy, driven almost entirely by run-of-river hydropower on the Brahmaputra basin tributaries. Carbon intensity averaged 24.1 gCO2/kWh over the recent ~48h window—among the lowest observable values in the national grid. Peak deficit at the 95th percentile stands at 0.0%, indicating that, on available POSOCO data through 2026-04-23, peak demand has been met without recorded shortage. Real-time SLDC demand telemetry and open-access charge data are not available for this state, constraining the depth of the supply-demand and DISCOM health analyses below.
Demand & Supply
The fuel-mix timeseries as of 2026-05-01 shows a 100.0% renewable share in generation, unchanged over the recent ~48h window (delta: 0.0 pp). Given Arunachal Pradesh's generation profile, this renewable contribution is attributable to hydro assets rather than intermittent wind or solar, making the 100.0% figure structurally stable rather than weather-contingent in the short window observed. Real-time demand telemetry (latest_demand_mw) is not available for the state—Arunachal Pradesh is not among the handful of states with live SLDC feeds integrated into the Atlas platform—so absolute MW demand cannot be anchored in this brief. The p95 peak deficit, drawn from POSOCO PSP daily data through 2026-04-23, is 0.0%, meaning peak hour shortages were negligible or absent at the 95th percentile across the measurement period. This is consistent with a state that is a net power exporter under normal hydrology, supplying surplus to the NER grid. Open-access charge data is not available, preventing any characterisation of the cost of procurement for bulk consumers. Multi-year demand CAGR is also not yet computable from the Atlas platform, limiting forward load-growth context.
RE & Transition
Arunachal Pradesh records a 100.0% renewable share in its latest generation slice (as of 2026-05-01), with a 0.0 pp recent ~48h window delta—meaning the share was stable across the two-day observation window. This is not a multi-year trend figure; the Atlas platform does not yet expose a long-term aggregator, and this delta should not be interpreted as indicative of trajectory over months or years. Average carbon intensity over the recent ~48h window is 24.1 gCO2/kWh, which is low in absolute terms and consistent with a hydro-dominated mix where reservoir cycling and run-of-river dispatch keep thermal displacement near-complete. The state's transition posture is therefore one of incumbency rather than active transition: it is not migrating toward RE from a thermal base but rather maintaining an RE-native grid. The structural risk is on the other side—hydrology dependence means drought years or upstream geophysical events can compress generation materially. RPO compliance data is not yet integrated (IEA-58), so formal regulatory performance against RE purchase obligations cannot be assessed. The absence of a long-term demand CAGR aggregator also means it is not possible to evaluate whether hydro capacity is keeping pace with load growth.
DISCOM Health
The two proxies available for DISCOM health—peak deficit p95 and open-access charge stack—yield a partial picture. Peak deficit p95 of 0.0% through 2026-04-23 indicates no material peak shortage, which in a net-exporting hydro state reflects adequacy of generation relative to local demand rather than DISCOM operational efficiency. Open-access charges (total_oa_charge_inr_per_kwh) are not available for Arunachal Pradesh, removing the primary cost-of-power signal for large consumers. AT&C losses are not yet integrated (UDAY dataset, IEA-57), and residential tariff data requires an API key not yet provisioned (tools-api gap). Consequently, no quantitative assessment of DISCOM financial health—loss levels, subsidy dependence, revenue gap, or tariff adequacy—is possible from current Atlas data. The NER zone context implies structurally elevated transmission and wheeling costs relative to larger grid-connected states, but without the OA charge stack or AT&C data, this cannot be quantified here.
Outlook
Over a 1–3 year horizon, Arunachal Pradesh's grid posture is defined by two structural facts available in the current data: a 100.0% renewable generation share sustained without peak deficit (p95: 0.0%) and a 24.1 gCO2/kWh carbon intensity that already positions it at the low end of the national intensity spectrum. The primary uncertainty is hydrological: run-of-river hydro dominance creates generation variance not visible in the ~48h window captured here. Evacuation constraints in the NER zone—referenced in the transmission ATC gap (IEA-56)—are the binding constraint on monetising surplus generation through inter-state trade. Without multi-year demand CAGR data, it is not possible to assess whether local load growth will absorb current surplus or whether evacuation investment is the priority. The absence of AT&C loss, tariff, and OA charge data means DISCOM financial sustainability cannot be evaluated; provisioning those Atlas endpoints (IEA-57, tariff API key) is the highest-priority data action for any substantive policy or investment assessment of this state.
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).