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 |
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).
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)
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.
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)_GÜNEŞ | Data for this unit could not be retrieved or processed for this period — not ranked |
| ELAZIĞ HİBRİT BES/GES | Zero production and zero forecast for the entire period — not ranked |
| YENİ GES | Data covers only 672/744 hours of the period — not comparable with a full-period plant, so not ranked |
| TOZOR GES | Forecast and actual both available for only 79/744 hours — not comparable with a full-period plant, so not ranked |
| ALİAĞA-1 GES | Not ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data |
| ARTUKLU-1 GES | Not ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data |
| G24-MALATYA GES | The 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 DGES | Not ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data |
| ME-SE GES | Imbalance ratio above our 75% review threshold — not assessable from public data, so not ranked |
| NEPSUN HADİM GES | Not ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data |
| OZE DEPOLAMALI GES | Not ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data |
| PAMUK GES | Not ranked under our policy for storage-integrated and balancing-market units, whose deviations cannot be separated from balancing instructions using public data |