Select a plant from the dropdown above to view its performance detail and organisation history.
56 Plants Reporting
0.42 GWh Generation This Month
25.4 M TL Imbalance Cost This Month
10.6% Median Imbalance % +1.9pp vs vs prev. month
68 TL/MWh Sector Unit Cost

Plant Ranking – August 2026

Imbalance vs fleet Plant Imbalance (%) Unit Cost (TL/MWh) Generation (MWh) Total Cost
Lower G4-VİRANŞEHİR-9 GES 6.0% 36.14 15,063 544,438
Lower G4-VİRANŞEHİR-5 GES 6.3% 34.58 14,525 502,222
Lower ÖZMEN-1 GES 6.4% 36.35 3,354 121,938
In line TEKSİN GES 6.7% 70.63 7,258 512,611
Lower APA GES 6.9% 62.75 2,740 171,911
Lower G4-VİRANŞEHİR-4 GES 7.0% 58.15 14,858 864,021
Lower ÖZGÜÇLÜ GES 7.0% 42.41 2,302 97,614
Lower G4-VİRANŞEHİR-7 GES 7.1% 35.83 14,643 524,595
Lower G4-VİRANŞEHİR-8 GES 7.1% 35.12 14,592 512,416
Lower G4-VİRANŞEHİR-3 GES 7.2% 49.86 14,320 714,030
In line AFTA GES 7.4% 61.28 2,425 148,604
In line KIVANÇ-2 GES 7.6% 45.87 10,289 472,007
Lower G4-VİRANŞEHİR-6 GES 7.6% 38.61 15,125 583,961
Lower G4-VİRANŞEHİR-2 GES 8.3% 39.69 14,384 570,949
In line OMİCRON ERCİŞ GES 8.4% 49.77 2,211 110,038
Lower SİLOPİ GES 8.4% 47.18 1,554 73,321
In line SOLANA KONYA GES 8.5% 66.74 542 36,188
In line CINGILLI GES 8.6% 67.77 5,861 397,200
In line G4-BOR3 GES 8.6% 67.73 29,168 1,975,663
In line GİTAŞ-1 GES 8.7% 64.60 2,170 140,181
In line GÜN GÜNEŞ ANTALYA AKSEKİ BÜYÜKALAN 1 GES 8.8% 52.96 5,691 301,383
In line G4-VİRANŞEHİR-1 GES 9.3% 62.43 11,452 714,977
In line OMİCRON ENGİL208 GES 9.4% 59.04 2,177 128,528
In line İOTA M. FIRINCI GES 9.5% 64.77 2,236 144,850
In line G4-BOR2 GES 9.7% 77.96 28,852 2,249,363
In line ALİBEY GES 10.0% 71.00 1,275 90,542
In line GÜN GÜNEŞ VAN ARISU GES 10.4% 73.48 12,658 930,188
In line FERNAS-4 GES 10.5% 57.55 5,141 295,866
In line G4-ERZİN-1 GES 10.8% 72.64 26,623 1,933,922
In line EDİKLİ GES 11.1% 81.93 2,365 193,808
In line G4-ERZİN-2 GES 11.3% 89.56 26,520 2,375,067
In line G3-GAZİANTEP-2-1 GES 11.5% 87.66 5,488 481,121
In line HAMAL GES 11.5% 77.34 1,963 151,800
In line G4-BOR-1 GES 11.7% 91.08 28,753 2,618,727
In line MT GES 11.7% 69.73 2,053 143,116
In line PSİ ENGİL207 GES 11.8% 66.68 2,361 157,461
In line G3-GAZİANTEP-1-1 GES 11.8% 90.69 5,524 500,958
In line G4-VİRANŞEHİR-10 GES 11.9% 55.73 15,523 865,093
In line METGES BURDUR GES 12.5% 65.80 1,597 105,057
In line KÜÇÜKKÖY GES 12.5% 67.66 4,726 319,754
In line G3-GAZİANTEP-3-1 GES 13.3% 100.53 2,735 274,951
Higher BÜGET GES(ULUDER) 14.2% 91.51 2,135 195,332
Higher RA GÜNEŞ MARDİN GES 14.5% 85.63 2,400 205,515
In line ALAGES ADİLCEVAZ GES 14.6% 120.61 3,825 461,333
Higher HALK ENERJİ ERZURUM GES 18.2% 120.63 887 106,950
Higher DENİZLİ TAVAS GES 18.4% 95.24 994 94,630
Higher G24-KÜTAHYA GES 18.7% 91.09 10,118 921,632
Higher G3-AĞRI-2-2 GES 18.8% 124.34 2,861 355,710
Higher SOLENTEGRE GES 19.2% 110.19 1,265 139,352
Higher G3-AĞRI-1-2 GES 20.1% 133.88 2,822 377,868
Higher ALİBEYHÖYÜĞÜ GES 21.1% 122.03 4,202 512,786
Higher RENOE ACIPAYAM GES 21.5% 130.36 1,954 254,717
Higher SERRA GES 22.5% 108.21 1,321 142,907
Higher YAYSUN GES 22.6% 152.72 1,704 260,271
Higher BÜGET GES(KAROMAD) 22.7% 154.79 1,539 238,154
Higher TAŞKESİĞİ GES 32.6% 209.55 1,785 374,152

Plants are ordered by imbalance %. “Imbalance vs fleet” compares each plant with the fleet median: “lower” or “higher” is shown only when a 95% confidence interval lies entirely on that side; otherwise the difference is within statistical noise and the plant is “in line”.

Operators who believe a figure for their plant is incorrect can request a review through the Algopoly report page.

This dashboard is built on publicly available settlement data from EPİAŞ (Turkish Energy Exchange). The metrics below explain exactly how each figure is computed.

Data Source
All production, imbalance, and KÜPST figures are drawn from the EPİAŞ Real-Time Settlement (Gerçek Zamanlı Uzlaştırma / GZU) reports. Data is fetched at hourly resolution via the public EPIAS Transparency Platform REST API (eptr2) and aggregated to monthly plant-level summaries. The dataset covers all licensed solar (GES) or wind (RES) power plants that reported at least one hour of production in the analysis period.
Imbalance Ratio (%)
The imbalance ratio measures how much a plant's hourly generation deviates from its day-ahead schedule, relative to what it actually produced. For each hour we take the absolute difference between the forecast (KÜDÜP) and the actual settlement quantity (UEVM), sum these over the month, and divide by total actual generation:
Imbalance % = Σ |KÜDÜP − UEVM| (hourly) ÷ Σ UEVM (monthly) × 100
Because the hourly differences are taken in absolute value, over-production hours and under-production hours do not cancel out — both count as imbalance. The metric therefore captures hourly forecasting volatility and is scale-independent, so plants of different sizes compare fairly. The separate net imbalance (signed sum, where surplus and deficit hours offset) is typically much smaller and is reported as a distinct figure.
Imbalance Cost
Imbalance cost arises when a plant's actual hourly generation differs from its day-ahead schedule. Settlement is system-direction-dependent: positive imbalance (plant produced more than scheduled) is settled on min(MCP, SMP); negative imbalance (produced less) on max(MCP, SMP).
  • Until Dec 2025 — flat 3% margin: positive at min(MCP, SMP) × 0.97, negative at max(MCP, SMP) × 1.03.
  • From Jan 2026 (EPDK regulation, Official Gazette 29/12/2025) — the margin depends on whether the plant's deviation aggravates or relieves the system. A deviation in the same direction as the system imbalance is charged 6% (positive × 0.94, negative × 1.06); a deviation that helps the system keeps the 3% margin (positive × 0.97, negative × 1.03).
Figures use EPİAŞ's published hourly imbalance prices, which already embed the applicable system-direction coefficient. The reported monthly value is the total imbalance cost (TL) — every hour is charged on the absolute size of its own deviation, so over- and under-forecast hours add up rather than cancel out.
KÜPST Cost
KÜPST (Kesinleşmiş Üretim Planından Sapma Tutarı — deviation-from-final-schedule charge) is a penalty applied hour by hour, whenever an hour's deviation from the final schedule (KUDÜP) exceeds a regulatory tolerance band set as a share of that hour's schedule:
  • Solar (GES): 8% of the hour's KUDÜP (10% before Jan 2026)
  • Wind (RES): 15% of the hour's KUDÜP (17% before Jan 2026)
The KÜPST unit price is 5% of max(MCP, SMP, 750 TL/MWh) for the relevant hour from January 2026 (3% until December 2025). Only the portion of an hour's deviation that exceeds the tolerance band attracts the penalty; the monthly figure is the sum over all hours.
Unit Cost (TL/MWh)
Unit cost = (Total Imbalance Cost + Total KÜPST Cost) ÷ Total Generation for the month, expressed in TL/MWh. It provides a scale-independent measure of settlement efficiency, allowing fair comparison across plants of different capacity.
Plant Rankings
Plants are ordered by their monthly imbalance percentage: the sum of absolute hourly differences between the published forecast (KUDÜP) and settled generation (UEVM), divided by generation, × 100. Hours do not offset each other. The figure reflects forecasting but also curtailment, outages and balancing instructions, which public data cannot separate, so it is not a measure of forecast skill alone. Differences between neighbouring plants are largely statistical noise, so the public table shows a tier rather than an exact rank: a plant is marked lower or higher than the fleet median only when a 95% confidence interval for its imbalance %, estimated by resampling the month's days, lies entirely on that side. Plants whose data does not allow a fair comparison (for example a partial month, very low generation, output far below the unit's usual level, or a day without a published forecast) are not ranked and are listed with the reason.
Coverage & Exclusions
A plant is excluded from a given month's ranking — while remaining in the registry — in either of these cases:
  • Zero activity: the plant reported zero generation and zero forecast for the whole month.
  • Insufficient forecast coverage: the plant has both a forecast and an actual value for less than half of the month's hours — typically a unit commissioned or registered mid-month. Its imbalance ratio would not be comparable with a full-month plant, so it is listed rather than ranked.
Every excluded plant is listed below with its reason.

KARAPINAR YEKA-1 (approx. 1,365 MW) is excluded from the plant statistics due to its outsized scale. Its performance is reported separately.

Plants excluded this month

LÜM_İLETİM_GÜLSAN GES_5.1.H(ST)_GÜNEŞData for this unit could not be retrieved or processed for this period — not ranked
ELAZIĞ HİBRİT BES/GESZero production and zero forecast for the entire period — not ranked
YENİ GESData covers only 672/744 hours of the period — not comparable with a full-period plant, so not ranked
TOZOR GESForecast and actual both available for only 79/744 hours — not comparable with a full-period plant, so not ranked
ALİAĞA-1 GESNot ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data
ARTUKLU-1 GESNot ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data
G24-MALATYA GESThe published forecast (KUDÜP) is zero on at least one day with production — the monthly ratio is not comparable with plants forecast every day, so not ranked
IĞDIR DGESNot ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data
ME-SE GESImbalance ratio above our 75% review threshold — not assessable from public data, so not ranked
NEPSUN HADİM GESNot ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data
OZE DEPOLAMALI GESNot ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data
PAMUK GESNot ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data
This report is based entirely on publicly available data published by EPİAŞ. All figures are derived from open settlement data; Algopoly accepts no liability for decisions made based on this content.