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HomeStatesOpen a StateAndaman and Nicobar IslandsAndhra PradeshArunachal PradeshAssamBiharChandigarhChhattisgarhDadra and Nagar Haveli and Daman and DiuDelhiGoaGujaratHaryanaHimachal PradeshJammu and KashmirLadakhJharkhandKarnatakaKeralaLakshadweepMadhya PradeshMaharashtraManipurMeghalayaMizoramNagalandOdishaPuducherryPunjabRajasthanSikkimTamil NaduTelanganaTripuraUttar PradeshUttarakhandWest BengalHaryana
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HomeStatesOpen a StateAndaman and Nicobar IslandsAndhra PradeshArunachal PradeshAssamBiharChandigarhChhattisgarhDadra and Nagar Haveli and Daman and DiuDelhiGoaGujaratHaryanaHimachal PradeshJammu and KashmirLadakhJharkhandKarnatakaKeralaLakshadweepMadhya PradeshMaharashtraManipurMeghalayaMizoramNagalandOdishaPuducherryPunjabRajasthanSikkimTamil NaduTelanganaTripuraUttar PradeshUttarakhandWest BengalStates

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HomeStatesOpen a StateAndaman and Nicobar IslandsAndhra PradeshArunachal PradeshAssamBiharChandigarhChhattisgarhDadra and Nagar Haveli and Daman and DiuDelhiGoaGujaratHaryanaHimachal PradeshJammu and KashmirLadakhJharkhandKarnatakaKeralaLakshadweepMadhya PradeshMaharashtraManipurMeghalayaMizoramNagalandOdishaPuducherryPunjabRajasthanSikkimTamil NaduTelanganaTripuraUttar PradeshUttarakhandWest BengalControl Room

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HomeStatesOpen a StateAndaman and Nicobar IslandsAndhra PradeshArunachal PradeshAssamBiharChandigarhChhattisgarhDadra and Nagar Haveli and Daman and DiuDelhiGoaGujaratHaryanaHimachal PradeshJammu and KashmirLadakhJharkhandKarnatakaKeralaLakshadweepMadhya PradeshMaharashtraManipurMeghalayaMizoramNagalandOdishaPuducherryPunjabRajasthanSikkimTamil NaduTelanganaTripuraUttar PradeshUttarakhandWest BengalControl Room

Haryana

Download state pack

Right now — live state snapshot

State grid status — key live tiles

as of 03:30 IST
  • Demand now
    4,049MW
    ▲3.4%
  • Peak today
    4,509MW
    ▼44.0%
  • Renewable share
    0.0%
  • Carbon intensity
    933gCO₂/kWh
    ▲0.6%
  • IEX clearing
    5.12₹/kWh
  • Frequency
    50.01Hz
  • Net interchange
    ↑1,833MW

Demand

Demand today — actual, forecast, and prior 7 days

Fuel mix

Fuel mix today — current mix and forecast

  • coal · 100.0%▲4.9 up 4.9 percentage points hour on hour
  • biomass · 0.0%
  • gas · 0.0%
  • hydro · 0.0%
  • solar · 0.0%

Carbon

Carbon today — emitted and forecast

Emitted today
11.7 kt CO₂
Forecast EOD(climatology, low conf.)
108 kt CO₂
+96.3 kt P50 (band shows P10–P90)

Hourly operating record

Hourly operating record — today

Forecast

Haryana — 48-hour demand & generation forecast

Demand & Forecast

48h forecast

Next 48 hours

Modeled

Historical trends

Loading two-year trace

Loading weather correlation

Loading multi-year demand

Forecast

Haryana — demand & generation forecast for today

Demand — actual & forecast

Modeled

BaselinePeak 7.0 GW · 19:00 IST
Full 48h forecast →

Generation by fuel — current mix & forecast

Modeled

  • Coal
  • Gas
  • Hydro
  • Biomass
  • Solar
  • Imports
Forecast accuracy (MAPE) & methodology

Haryana — Forecast vs metered (90-day MAPE)

state-mape-daily

Loading 90-day MAPE history for Haryana

Haryana — 48h forecast accuracy (median daily-MAPE)

state_forecast_48h

Loading 48h forecast scorecard for Haryana

Haryana — Carbon scorecard

SLDC fuel mix

Loading carbon scorecard for Haryana

Fuel mix — full history

Haryana · generation mix · back to 2020

Loading production history…

Renewable Purchase Obligation compliance

Loading RPO compliance

Haryana — Solar capture-rate

solar-capture-rate

Loading solar capture-rate for Haryana

Loading fuel-mix share

State at a glance

Loading POSOCO visualizations

Haryana — Event timeline

frequency × congestion × demand records × news

Reliability calendar and historical signals

Loading daily analytics

Haryana — Residential cost curve

residential-cost-curve

Loading residential cost curve for Haryana

Infrastructure

Subsidies and incentives

Subsidies & Incentives

3 active schemes applicable to Haryana

2 provisional

Editorial seed catalogue covering central schemes (PM Surya Ghar Muft Bijli Yojana, PM-KUSUM) plus state-specific schemes (DBT for agriculture, domestic free-units, OA banking). Rows with is_modeled=true are reasonable estimates pending direct verification of the primary GR / regulator order.

Tariff slabs and category explorer

Loading tariff explorer

DISCOM AT&C losses

Loading DISCOM health

Wire this state into your pipeline:API catalogue

Haryana — frequently asked

What's the current electricity demand in Haryana?

Haryana is drawing 4,049 MW as of 2026-08-18T21:00:00+00:00 IST, sourced from the India Energy Atlas state-page-live snapshot.

What's Haryana's renewable energy share right now?

Renewables (solar, wind, hydro, nuclear) account for 0.0% of in-state generation in Haryana as of 2026-08-18T21:00:00+00:00 IST.

What's Haryana's grid carbon intensity?

Haryana's current grid carbon intensity is 933 gCO2/kWh as of 2026-08-18T21:00:00+00:00 IST, computed from the metered fuel mix using CEA v18 lifecycle emission factors.

When does Haryana's peak demand hour usually occur?

Today's peak demand in Haryana fell at 00:30 IST. Long-run peaks land in the evening (7-9 pm IST) on the residential lighting load.

Which DISCOM serves Haryana?

Distribution in Haryana is handled by one or more state-licensed DISCOMs; see the DISCOM card on the state page for the live roster.

How accurate is energymap.in's Haryana data?

The day-ahead demand forecast for Haryana runs at single-digit MAPE; we publish the rolling 30-day MAPE on the State MAPE History card so readers can audit it themselves. Live demand comes from the SLDC scrape when available; non-SLDC states use the Atlas DISCOM disaggregation pipeline (Tier-A/B/C provenance, P10/P50/P90 bands).

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What the data says — Haryana

Haryana is drawing 4,049 MW of electricity at the current hour (2026-08-19T03:00:00+05:30 IST), per the India Energy Atlas state-page-live snapshot.

The latest modeled in-state generation mix for Haryana is dominated by Coal at 95.1%. Grid carbon intensity is 933 gCO2/kWh.

Hourly disaggregation for Haryana is awaiting the cross-project Atlas DISCOM Disaggregation tier-A endpoint; once it lands the live page will surface P10/P50/P90 bands without any FE change.

The day-ahead hourly demand forecast for Haryana publishes a ±1.5σ band over the next 24 hours — based on 30 similar days across 2 years; level-calibrated x0.66 vs canonical trailing 24h.

Composed at 2026-08-19T03:00:00+05:30

Two-Year Demand Trace

723 daily rows

Latest peak

13,137 MW

2-yr peak

16,050 MW

Most recent: 2026-08-14

Weather sensitivity

Demand vs temperature (7d window)

Weather correlation data is not available for this state yet.

Slope

—

R²

—

Confidence

—

Source: Weather correlation
▸Why this matters

Demand's sensitivity to temperature (MW per degree) is what turns a heatwave forecast into a load forecast. A high, tight slope means cooling load dominates and peaks are weather-driven and forecastable; a weak or noisy slope means the swing factor is something else — industrial shifts, agriculture, or a data gap worth questioning.

Haryana — Forecast vs metered (90-day MAPE)

state-mape-daily
Not on the honesty list

We do not show a modeled-vs-actual chart for Haryana because no live SLDC scrape; only modeled + monthly-synthesized data exists for this jurisdiction. Accuracy scoring requires an independent live actual.

Haryana — 48h forecast accuracy (median daily-MAPE)

state_forecast_48h
Not scored
Next-day (0–24h)
—
no live rows
Day-2 (24–48h)
—
no live rows

no forecast-accuracy rows accumulated yet for this state; the nightly writer needs replayed (forecast, actual) pairs before scoring.

No live forecast-vs-actual rows are scored for Haryana.

Median daily-MAPE on the 48h-ahead forecast (normal-day cohort), graded vs the metered actual. The verified <5% badge is earned on the leak-free IEA-1763 spike — not inferred from the live number.

Haryana — Carbon scorecard

SLDC fuel mix
90-day average carbon intensity606gCO₂/kWh · demand-weighted mean
Greenest hour
476gCO₂/kWh
Tue · 06:00 IST · thermal
Dirtiest hour
719gCO₂/kWh
Sat · 23:00 IST · thermal

Median gCO₂/kWh · day-of-week × hour-of-day (IST)

000102030405060708091011121314151617181920212223
Mon
Tue
Wed
Thu
Fri
Sat
Sun
greenerdirtier
Window: 90d · cells with data: 168/168 · cell-vs-naive deviation: ±35

State-mean fuel share: coal 56% · imports 23% · hydro 9%

Policy & RE Transition

RPO Compliance

Renewable Purchase Obligation: MNRE target trajectory vs SERC-reported actual compliance.

API

Latest actual

14.2%

FY23 · modelled

Shortfall

—pp

vs FY23 target

—Shortfall pending
Total target
Solar
Non-solar
Actual compliance
Source: Estimated from HERC tariff orders + Prayas State RPO review (FY23)
▸Why this matters

A Renewable Purchase Obligation is statutory, not aspirational: a state utility must source a set share of its energy from renewables or pay a penalty. A widening shortfall against the MNRE trajectory is an early signal of either a procurement gap or a banked-REC scramble at year-end — both move power and REC prices.

IndiaEnergyAtlas.in
Source: rpo-compliance·Coverage: MNRE FY23-FY30 trajectory + SERC compliance reports

Haryana — Solar capture-rate

solar-capture-rate
Not on the honesty list

We do not show a solar capture-rate for Haryana because no live SLDC scrape; only modeled + monthly-synthesized data exists for this jurisdiction. Accuracy scoring requires an independent live actual.

Not collected yetNot yet populated for this state — pull it the moment it lands via the API.View API catalogue →

Reliability — POSOCO PSP

Daily peak, shortage and frequency for Haryana

1,407 day rows · 3-year window

All-time state peak

16,050MW

2026-07-16

Days with shortage

99days

Within window

Cumulative shortage

224MU

Energy not served

Worst single day

14.9MU

2026-07-16

Adequacy calendar

Energy shortage by day

Each square is one day. Color intensity = energy shortage (MU).

015
20242 days with shortage
JanFebMarAprMayJunJulAugSepOctNovDec2024-01-01: 02024-01-02: 02024-01-03: 02024-01-04: 02024-01-05: 02024-01-06: 02024-01-07: 02024-01-08: 02024-01-09: 02024-01-10: 02024-01-11: 02024-01-12: 02024-01-13: 02024-01-14: 02024-01-15: 02024-01-16: 02024-01-17: 02024-01-18: 02024-01-19: 02024-01-20: 02024-01-21: 02024-01-22: 02024-01-23: 02024-01-24: 02024-01-25: 02024-01-26: 02024-01-27: 02024-01-28: 02024-01-29: 02024-01-30: 02024-01-31: 02024-02-01: 02024-02-02: 02024-02-03: 02024-02-04: 02024-02-05: 02024-02-06: 02024-02-07: 02024-02-08: 02024-02-09: 02024-02-10: 02024-02-11: 02024-02-12: 02024-02-13: 02024-02-14: 02024-02-15: 02024-02-16: 02024-02-17: 02024-02-18: 02024-02-19: 02024-02-20: 02024-02-21: 02024-02-22: 02024-02-23: 02024-02-24: 02024-02-25: 02024-02-26: 02024-02-27: 02024-02-28: 02024-02-29: 02024-03-01: 02024-03-02: 02024-03-03: 02024-03-04: 02024-03-05: 02024-03-06: 02024-03-07: 02024-03-08: 02024-03-09: 02024-03-10: 02024-03-11: 02024-03-12: 02024-03-13: 02024-03-14: 02024-03-15: 02024-03-16: 02024-03-17: 02024-03-18: 02024-03-19: 02024-03-20: 02024-03-21: 02024-03-22: 02024-03-23: 02024-03-24: 02024-03-25: 02024-03-26: 02024-03-27: 02024-03-28: 02024-03-29: 02024-03-30: 02024-03-31: 02024-04-01: 02024-04-02: 02024-04-03: 02024-04-04: 02024-04-05: 02024-04-06: 02024-04-07: 02024-04-08: 02024-04-09: 02024-04-10: 02024-04-11: 02024-04-12: 02024-04-13: 02024-04-14: 02024-04-15: 02024-04-16: 02024-04-17: 02024-04-18: 02024-04-19: 02024-04-20: 02024-04-21: 02024-04-22: 02024-04-23: 02024-04-24: 02024-04-25: 02024-04-26: 02024-04-27: 02024-04-28: 02024-04-29: 02024-04-30: 02024-05-01: 02024-05-02: 02024-05-03: 02024-05-04: 02024-05-05: 02024-05-06: 02024-05-07: 02024-05-08: 02024-05-09: 02024-05-10: 02024-05-11: 02024-05-12: 02024-05-13: 02024-05-14: 02024-05-15: 02024-05-16: 02024-05-17: 02024-05-18: 02024-05-19: 02024-05-20: 02024-05-21: 02024-05-22: 02024-05-23: 02024-05-24: 02024-05-25: 02024-05-26: 02024-05-27: 02024-05-28: 02024-05-29: 02024-05-30: 02024-05-31: 02024-06-01: 02024-06-02: 02024-06-03: 02024-06-04: 02024-06-05: 02024-06-06: 02024-06-07: 02024-06-08: 02024-06-09: 02024-06-10: 02024-06-11: 02024-06-12: 02024-06-13: 02024-06-14: 02024-06-15: 02024-06-16: 02024-06-17: 02024-06-18: 02024-06-19: 02024-06-20: 02024-06-21: 02024-06-22: 02024-06-23: 02024-06-24: 02024-06-25: 02024-06-26: 02024-06-27: 02024-06-28: 02024-06-29: 02024-06-30: 02024-07-01: 02024-07-02: 02024-07-03: 02024-07-04: 02024-07-05: 02024-07-06: 02024-07-07: 02024-07-08: 02024-07-09: 02024-07-10: 02024-07-11: 02024-07-12: 02024-07-13: 02024-07-14: 02024-07-15: 02024-07-16: 02024-07-17: 02024-07-18: 02024-07-19: 02024-07-20: 02024-07-21: 02024-07-22: 02024-07-23: 02024-07-24: 02024-07-25: 02024-07-26: 02024-07-27: 02024-07-28: 02024-07-29: 02024-07-30: 02024-07-31: 02024-08-01: 02024-08-02: 02024-08-03: 02024-08-04: 02024-08-05: 02024-08-06: 02024-08-07: 02024-08-08: 02024-08-09: 02024-08-10: 02024-08-11: 02024-08-12: 02024-08-13: 02024-08-14: 02024-08-15: 02024-08-16: 02024-08-17: 02024-08-18: 02024-08-19: 02024-08-20: 02024-08-21: 02024-08-22: 02024-08-23: 02024-08-24: 02024-08-25: 02024-08-26: 02024-08-27: 02024-08-28: 02024-08-29: 02024-08-30: 02024-08-31: 02024-09-01: 02024-09-02: 02024-09-03: 02024-09-04: 02024-09-05: 02024-09-06: 02024-09-07: 02024-09-08: 02024-09-09: 02024-09-10: 02024-09-11: 02024-09-12: 02024-09-13: 02024-09-14: 02024-09-15: 02024-09-16: 02024-09-17: 02024-09-18: 0.02024-09-19: 02024-09-20: 02024-09-21: 02024-09-22: 02024-09-23: 02024-09-24: 02024-09-25: 02024-09-26: 02024-09-27: 02024-09-28: 02024-09-29: 02024-09-30: 02024-10-01: 02024-10-02: 02024-10-03: 02024-10-04: 02024-10-05: 02024-10-06: 02024-10-07: 02024-10-08: 02024-10-09: 02024-10-10: 02024-10-11: 02024-10-12: 02024-10-13: 02024-10-14: 02024-10-15: 02024-10-16: 02024-10-17: 02024-10-18: 02024-10-19: 02024-10-20: 02024-10-21: 02024-10-22: 02024-10-23: 02024-10-24: 02024-10-25: 02024-10-26: 02024-10-27: 02024-10-28: 02024-10-29: 02024-10-30: 02024-10-31: 02024-11-01: 02024-11-02: 02024-11-03: 02024-11-04: 02024-11-05: 02024-11-06: 02024-11-07: 02024-11-08: 02024-11-09: 02024-11-10: 02024-11-11: 02024-11-12: 02024-11-13: 02024-11-14: 02024-11-15: 02024-11-16: 02024-11-17: 02024-11-18: 02024-11-19: 02024-11-20: 02024-11-21: 02024-11-22: 02024-11-23: 02024-11-24: 02024-11-25: 02024-11-26: 02024-11-27: 02024-11-28: 02024-11-29: 0.12024-11-30: 02024-12-01: 02024-12-02: 02024-12-03: 02024-12-04: 02024-12-05: 02024-12-06: 02024-12-07: 02024-12-08: 02024-12-09: 02024-12-10: 02024-12-11: 02024-12-12: 02024-12-13: 02024-12-14: 02024-12-15: 02024-12-16: 02024-12-17: 02024-12-18: 02024-12-19: 02024-12-20: 02024-12-21: 02024-12-22: 02024-12-23: 02024-12-24: 02024-12-25: 02024-12-26: 02024-12-27: 02024-12-28: 02024-12-29: 02024-12-30: 02024-12-31: 0
202544 days with shortage
JanFebMarAprMayJunJulAugSepOctNovDec2025-01-01: 02025-01-02: 02025-01-03: 02025-01-04: 02025-01-05: 02025-01-06: 02025-01-07: 02025-01-08: 02025-01-09: 02025-01-10: 0.32025-01-11: 02025-01-12: 02025-01-13: 02025-01-14: 02025-01-15: 02025-01-16: 02025-01-17: 02025-01-18: 02025-01-19: 02025-01-20: 02025-01-21: 02025-01-22: 02025-01-23: 02025-01-24: 02025-01-25: 02025-01-26: 02025-01-27: 02025-01-28: 02025-01-29: 02025-01-30: 02025-01-31: 02025-02-01: 02025-02-02: 02025-02-03: 02025-02-04: 02025-02-05: 02025-02-06: 02025-02-07: 02025-02-08: 02025-02-09: 02025-02-10: 02025-02-11: 02025-02-12: 02025-02-13: 02025-02-14: 02025-02-15: 02025-02-16: 02025-02-17: 02025-02-18: 02025-02-19: 02025-02-20: 0.02025-02-21: 02025-02-22: 02025-02-23: 02025-02-24: 02025-02-25: 02025-02-26: 02025-02-27: 02025-02-28: 02025-03-01: 02025-03-02: 02025-03-03: 02025-03-04: 02025-03-05: 02025-03-06: 02025-03-07: 02025-03-08: 02025-03-09: 02025-03-10: 02025-03-11: 02025-03-12: 02025-03-13: 02025-03-14: 02025-03-15: 02025-03-16: 02025-03-17: 02025-03-18: 02025-03-19: 02025-03-20: 02025-03-21: 02025-03-22: 02025-03-23: 02025-03-24: 02025-03-25: 02025-03-26: 02025-03-27: 02025-03-28: 02025-03-29: 02025-03-30: 02025-03-31: 02025-04-01: 02025-04-02: 02025-04-03: 02025-04-04: 0.02025-04-05: 02025-04-06: 02025-04-07: 0.02025-04-08: 02025-04-09: 02025-04-10: 02025-04-11: 02025-04-12: 02025-04-13: 02025-04-14: 02025-04-15: 02025-04-16: 02025-04-17: 02025-04-18: 02025-04-19: 02025-04-20: 02025-04-21: 1.92025-04-22: 2.82025-04-23: 0.82025-04-24: 0.92025-04-25: 1.72025-04-26: 1.82025-04-27: 02025-04-28: 1.32025-04-29: 1.42025-04-30: 0.82025-05-01: 0.22025-05-02: 02025-05-03: 02025-05-04: 02025-05-05: 02025-05-06: 02025-05-07: 02025-05-08: 02025-05-09: 1.42025-05-10: 02025-05-11: 02025-05-12: 0.72025-05-13: 0.82025-05-14: 0.72025-05-15: 1.12025-05-16: 0.42025-05-17: 0.62025-05-18: 0.52025-05-19: 2.52025-05-20: 2.52025-05-21: 02025-05-22: 02025-05-23: 02025-05-24: 02025-05-25: 02025-05-26: 02025-05-27: 0.82025-05-28: 1.12025-05-29: 0.22025-05-30: 02025-05-31: 02025-06-01: 02025-06-02: 02025-06-03: 02025-06-04: 02025-06-05: 02025-06-06: 02025-06-07: 0.32025-06-08: 1.32025-06-09: 0.82025-06-10: 0.72025-06-11: 4.12025-06-12: 10.32025-06-13: 4.62025-06-14: 9.12025-06-15: 1.22025-06-16: 02025-06-17: 02025-06-18: 02025-06-19: 02025-06-20: 02025-06-21: 02025-06-22: 02025-06-23: 02025-06-24: 02025-06-25: 02025-06-26: 02025-06-27: 02025-06-28: 02025-06-29: 02025-06-30: 02025-07-01: 02025-07-02: 2.42025-07-03: 02025-07-04: 02025-07-05: 02025-07-06: 02025-07-07: 02025-07-08: 02025-07-09: 02025-07-10: 02025-07-11: 02025-07-12: 02025-07-13: 02025-07-14: 02025-07-15: 02025-07-16: 02025-07-17: 02025-07-18: 0.02025-07-19: 02025-07-20: 0.02025-07-21: 02025-07-22: 02025-07-23: 02025-07-24: 02025-07-25: 02025-07-26: 02025-07-27: 02025-07-28: 02025-07-29: 02025-07-30: 02025-07-31: 02025-08-01: 02025-08-02: 02025-08-03: 02025-08-04: 02025-08-05: 02025-08-06: 02025-08-07: 0.82025-08-08: 02025-08-09: 02025-08-10: 02025-08-11: 02025-08-12: 02025-08-13: 02025-08-14: 02025-08-15: 02025-08-16: 02025-08-17: 02025-08-18: 02025-08-19: 02025-08-20: 02025-08-21: 1.62025-08-22: 02025-08-23: 02025-08-24: 02025-08-25: 02025-08-26: 02025-08-27: 02025-08-28: 02025-08-29: 02025-08-30: 02025-08-31: 02025-09-01: 02025-09-02: 02025-09-03: 02025-09-04: 02025-09-05: 02025-09-06: 02025-09-07: 02025-09-08: 02025-09-09: 02025-09-10: 02025-09-11: 02025-09-12: 02025-09-13: 0.72025-09-14: 02025-09-15: 02025-09-16: 02025-09-17: 02025-09-18: 02025-09-19: 02025-09-20: 02025-09-21: 02025-09-22: 02025-09-23: 02025-09-24: 02025-09-25: 02025-09-26: 02025-09-27: 02025-09-28: 02025-09-29: 02025-09-30: 02025-10-01: 02025-10-02: 0.02025-10-03: 02025-10-04: 02025-10-05: 02025-10-06: 02025-10-07: 02025-10-08: 02025-10-09: 02025-10-10: 02025-10-11: 02025-10-12: 02025-10-13: 02025-10-14: 02025-10-15: 02025-10-16: 02025-10-17: 02025-10-18: 02025-10-19: 02025-10-20: 02025-10-21: 02025-10-22: 02025-10-23: 02025-10-24: 02025-10-25: 02025-10-26: 02025-10-27: 02025-10-28: 02025-10-29: 02025-10-30: 02025-10-31: 02025-11-01: 02025-11-02: 02025-11-03: 02025-11-04: 02025-11-05: 02025-11-06: 02025-11-07: 02025-11-08: 02025-11-09: 02025-11-10: 0.02025-11-11: 02025-11-12: 02025-11-13: 02025-11-14: 02025-11-15: 02025-11-16: 02025-11-17: 02025-11-18: 02025-11-19: 02025-11-20: 02025-11-21: 02025-11-22: 02025-11-23: 02025-11-24: 02025-11-25: 02025-11-26: 02025-11-27: 02025-11-28: 02025-11-29: 02025-11-30: 02025-12-01: 02025-12-02: 02025-12-03: 02025-12-04: 02025-12-05: 02025-12-06: 02025-12-07: 02025-12-08: 02025-12-09: 02025-12-10: 02025-12-11: 02025-12-12: 02025-12-13: 02025-12-14: 02025-12-15: 02025-12-16: 02025-12-17: 02025-12-18: 02025-12-19: 02025-12-20: 02025-12-21: 02025-12-22: 02025-12-23: 02025-12-24: 02025-12-25: 02025-12-26: 02025-12-27: 02025-12-28: 02025-12-29: 02025-12-30: 02025-12-31: 0
202653 days with shortage
JanFebMarAprMayJunJulAugSepOctNovDec2026-01-01: 02026-01-02: 02026-01-03: 02026-01-04: 02026-01-05: 02026-01-06: 1.22026-01-07: 02026-01-08: 02026-01-09: 02026-01-10: 02026-01-11: 02026-01-12: 02026-01-13: 02026-01-14: 02026-01-15: 02026-01-16: 02026-01-17: 02026-01-18: 02026-01-19: 02026-01-20: 02026-01-21: 02026-01-22: 02026-01-23: 02026-01-24: 02026-01-25: 02026-01-26: 02026-01-27: 02026-01-28: 02026-01-29: 02026-01-30: 02026-01-31: 02026-02-01: 02026-02-02: 02026-02-03: 02026-02-04: 02026-02-05: 02026-02-06: 02026-02-07: 02026-02-08: 02026-02-09: 02026-02-10: 02026-02-11: 02026-02-12: 02026-02-13: 02026-02-14: 02026-02-15: 02026-02-16: 02026-02-17: 02026-02-18: 02026-02-19: 02026-02-20: 02026-02-21: 02026-02-22: 02026-02-23: 02026-02-24: 02026-02-25: 02026-02-26: 02026-02-27: 02026-02-28: 02026-03-01: 02026-03-02: 02026-03-03: 02026-03-04: 02026-03-05: 02026-03-06: 02026-03-07: 02026-03-08: 02026-03-09: 02026-03-10: 02026-03-11: 02026-03-12: 0.72026-03-13: 0.12026-03-14: 02026-03-15: 02026-03-16: 02026-03-17: 02026-03-18: 02026-03-19: 02026-03-20: 02026-03-21: 02026-03-22: 02026-03-23: 02026-03-24: 02026-03-25: 02026-03-26: 02026-03-27: 02026-03-28: 02026-03-29: 02026-03-30: 0.42026-03-31: 02026-04-01: 02026-04-02: 02026-04-03: 02026-04-04: 02026-04-05: 02026-04-06: 02026-04-07: 02026-04-08: 02026-04-09: 02026-04-10: 02026-04-11: 02026-04-12: 02026-04-13: 02026-04-14: 02026-04-15: 02026-04-16: 2.32026-04-17: 0.32026-04-18: 1.22026-04-19: 0.82026-04-20: 2.72026-04-21: 3.92026-04-22: 0.72026-04-23: 0.72026-04-24: 2.02026-04-25: 3.72026-04-26: 3.02026-04-27: 02026-04-28: 0.72026-04-29: 02026-04-30: 02026-05-01: 02026-05-02: 02026-05-03: 02026-05-04: 02026-05-05: 02026-05-06: 02026-05-07: 02026-05-08: 02026-05-09: 02026-05-10: 02026-05-11: 2.12026-05-12: 3.52026-05-13: 0.12026-05-14: 02026-05-15: 02026-05-16: 0.62026-05-17: 0.82026-05-18: 1.42026-05-19: 1.22026-05-20: 3.12026-05-21: 6.02026-05-22: 5.12026-05-23: 3.92026-05-24: 2.02026-05-25: 4.02026-05-26: 4.82026-05-27: 1.42026-05-28: 0.32026-05-29: 02026-05-30: 02026-05-31: 02026-06-01: 02026-06-02: 02026-06-03: 1.12026-06-04: 02026-06-05: 02026-06-06: 02026-06-07: 02026-06-08: 0.32026-06-09: 02026-06-10: 02026-06-11: 02026-06-12: 02026-06-13: 02026-06-14: 02026-06-15: 02026-06-16: 02026-06-17: 02026-06-18: 02026-06-19: 02026-06-20: 02026-06-21: 02026-06-22: 02026-06-23: 02026-06-24: 02026-06-25: 2.52026-06-26: 3.72026-06-27: 14.12026-06-28: 6.22026-06-29: 1.02026-06-30: 3.12026-07-01: 1.22026-07-02: 02026-07-03: 02026-07-04: 02026-07-05: 02026-07-06: 1.82026-07-07: 02026-07-08: 02026-07-09: 02026-07-10: 02026-07-11: 02026-07-12: 02026-07-13: 1.52026-07-14: 3.52026-07-15: 5.62026-07-16: 14.92026-07-17: 10.22026-07-18: 8.12026-07-19: 7.62026-07-20: 02026-07-21: 02026-07-22: 02026-07-23: 02026-07-24: 02026-07-25: 02026-07-26: 02026-07-27: 0.32026-07-28: 02026-07-29: 02026-07-30: 02026-07-31: 02026-08-01: 02026-08-02: 02026-08-03: 0.62026-08-04: 02026-08-05: 02026-08-06: 02026-08-07: 02026-08-08: 02026-08-09: 02026-08-10: 02026-08-11: 02026-08-12: 3.92026-08-13: 2.42026-08-14: 02026-08-15: 02026-08-16: 02026-08-17: 02026-08-18: 02026-08-19: 02026-08-20: 02026-08-21: 02026-08-22: 02026-08-23: 02026-08-24: 02026-08-25: 02026-08-26: 02026-08-27: 02026-08-28: 02026-08-29: 02026-08-30: 02026-08-31: 02026-09-01: 02026-09-02: 02026-09-03: 02026-09-04: 02026-09-05: 02026-09-06: 02026-09-07: 02026-09-08: 02026-09-09: 02026-09-10: 02026-09-11: 02026-09-12: 02026-09-13: 02026-09-14: 02026-09-15: 02026-09-16: 02026-09-17: 02026-09-18: 02026-09-19: 02026-09-20: 02026-09-21: 02026-09-22: 02026-09-23: 02026-09-24: 02026-09-25: 02026-09-26: 02026-09-27: 02026-09-28: 02026-09-29: 02026-09-30: 02026-10-01: 02026-10-02: 02026-10-03: 02026-10-04: 02026-10-05: 02026-10-06: 02026-10-07: 02026-10-08: 02026-10-09: 02026-10-10: 02026-10-11: 02026-10-12: 02026-10-13: 02026-10-14: 02026-10-15: 02026-10-16: 02026-10-17: 02026-10-18: 02026-10-19: 02026-10-20: 02026-10-21: 02026-10-22: 02026-10-23: 02026-10-24: 02026-10-25: 02026-10-26: 02026-10-27: 02026-10-28: 02026-10-29: 02026-10-30: 02026-10-31: 02026-11-01: 02026-11-02: 02026-11-03: 02026-11-04: 02026-11-05: 02026-11-06: 02026-11-07: 02026-11-08: 02026-11-09: 02026-11-10: 02026-11-11: 02026-11-12: 02026-11-13: 02026-11-14: 02026-11-15: 02026-11-16: 02026-11-17: 02026-11-18: 02026-11-19: 02026-11-20: 02026-11-21: 02026-11-22: 02026-11-23: 02026-11-24: 02026-11-25: 02026-11-26: 02026-11-27: 02026-11-28: 02026-11-29: 02026-11-30: 02026-12-01: 02026-12-02: 02026-12-03: 02026-12-04: 02026-12-05: 02026-12-06: 02026-12-07: 02026-12-08: 02026-12-09: 02026-12-10: 02026-12-11: 02026-12-12: 02026-12-13: 02026-12-14: 02026-12-15: 02026-12-16: 02026-12-17: 02026-12-18: 02026-12-19: 02026-12-20: 02026-12-21: 02026-12-22: 02026-12-23: 02026-12-24: 02026-12-25: 02026-12-26: 02026-12-27: 02026-12-28: 02026-12-29: 02026-12-30: 02026-12-31: 0

Loading 90-day adequacy strip

SourcePOSOCO PSP state-level rowsofficialUpdated15 Aug 2026, 5:30 am ISTRefreshDailyCoverage1,407 day-rows

Haryana — Event timeline

frequency × congestion × demand records × news

Coverage: frequency since 2025-09-19; congestion since 2026-05-22; demand records since 2018-01-01; news since 2026-05-22.

⚡Frequency excursion93🧱Congestion bind8📈Demand record0📰News event0
93 frequency excursions in band (49.60–50.21 Hz)
  1. 🧱2026-08-07T12:00:00+05:30·moderate

    Interchange under-drawal -237 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct
  2. 🧱2026-07-29T12:00:00+05:30·moderate

    Interchange under-drawal -226 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct
  3. 🧱2026-07-22T12:00:00+05:30·moderate

    Interchange under-drawal -247 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct
  4. 🧱2026-07-21T12:00:00+05:30·moderate

    Interchange under-drawal -237 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct
  5. 🧱2026-08-15T12:00:00+05:30·mild

    Interchange under-drawal -163 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct
  6. 🧱2026-08-09T12:00:00+05:30·mild

    Interchange under-drawal -157 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct
  7. 🧱2026-08-08T12:00:00+05:30·mild

    Interchange under-drawal -208 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct
  8. 🧱2026-08-05T12:00:00+05:30·mild

    Interchange under-drawal -176 MW vs schedule

    Inter-state transfer · POSOCO PSP daily

    direct

Daily analytics cache

Two-year state signals

30D avg peak

6,144MW

2026-08-19

YoY peak shift

0%→ 0.0%

baseline window

Load factor

86%

2 daily rows

Shortage days

99days

224 MU

30D carbon avg

808gCO2/kWh

derived daily layer

Weather-load link

0days

joined weather samples

Data centers

3sites

8 MW mapped

Fiber routes

11,523km

230 route segments

Digital infra basis

Mapped

State bounds route estimate

Seasonality

Monthly average daily peak load

1 months

Haryana — Residential cost curve

residential-cost-curve
Not yet available

An hourly residential cost curve isn't published for Haryana yet — it appears once the underlying tariff data is available.

Residential Tariff

HERC · 2 DISCOMs

SlabEnergy rate (₹/unit)Notes
0–150 unit₹2.95Category II: 0-150 units/month
150–300 unit₹5.25Category II: 151-300 units/month
300–500 unit₹6.45Category II: 301-500 units/month
500+ unit₹7.10Category II: above 500 units/month
Fixed charge
—
Fuel adjustment (FPPCA)
Passes through quarterly per regulator order.
Source HERC order dated 25.03.2026 / UHBVN Sales Circular U-03/2026 · Updated 01 Apr 2026

DISCOM Health

AT&C losses by DISCOM

Aggregate Technical & Commercial losses per distribution utility, with multi-year trend.

Stale — last update 05:30 ISTAPI

Dakshin Haryana Bijli Vitran Nigam Limited

↓Improving

AT&C losses, FY18 → FY23

11.8%

Latest

Aggregate Technical & Commercial losses per PFC's Annual Integrated Rating of State Power Distribution Utilities. Backfilled FY16 onwards where published. Latest published edition is the 13th Rating (FY22-23 data); forward-year cells marked is_modeled=true.

▸Why this matters

AT&C (Aggregate Technical & Commercial) loss is the single clearest read on a distribution utility's solvency. Every percentage point is power delivered but never billed or collected; a worsening trend tells you a DISCOM is heading toward the payment delays that ripple back to gencos and IPPs.

IndiaEnergyAtlas.in
Source: discom-health·Coverage: FY18 → FY23

Grid reliability

Reliability calendar — daily peak shortfall

Each cell is a day's unmet peak demand (POSOCO). Green = fully met; redder = larger shortfall — occasional stress days stand out against the reliable run.

May
Jun
Jul
Aug
Mon
Wed
Fri

Peak demand fully met every day

met
shortfall

SOURCE: Grid-India PSP (daily) · UPDATED 15 Aug