Select a plant from the dropdown above to view its performance detail and organisation history.
55 Plants Reporting
0.22 GWh Generation This Month
35.9 M TL Imbalance Cost This Month
25.8% Median Imbalance % -1.5pp vs vs prev. month
175 TL/MWh Sector Unit Cost

Plant Ranking – April 2026

Rank Plant Imbalance (%) Unit Cost (TL/MWh) Generation (MWh) Total Cost
1 KIVANÇ-2 GES 17.7% 97.64 8,179 798,621
2 GİTAŞ-1 GES 17.9% 155.93 1,820 283,865
3 KÜÇÜKKÖY GES 18.8% 99.29 4,036 400,781
4 MT GES 20.0% 118.33 1,715 202,941
5 YAYSUN GES 20.2% 115.43 1,726 199,265
6 OMİCRON ERCİŞ GES 20.4% 64.06 1,754 112,384
7 PSİ ENGİL207 GES 20.7% 85.80 1,789 153,497
8 ALİBEY GES 20.9% 119.85 1,045 125,213
9 ME-SE GES 21.4% 99.28 1,648 163,628
10 GÜN GÜNEŞ ANTALYA AKSEKİ BÜYÜKALAN 1 GES 21.6% 105.85 4,405 466,263
11 ÖZMEN-1 GES 22.1% 93.56 2,644 247,361
12 APA GES 22.6% 105.35 2,196 231,346
13 SOLENTEGRE GES 23.2% 101.86 1,150 117,190
14 METGES BURDUR GES 23.9% 164.25 1,304 214,237
15 BÜGET GES(ULUDER) 24.4% 111.15 1,730 192,315
16 İOTA M. FIRINCI GES 24.5% 117.74 1,746 205,575
17 OMİCRON ENGİL208 GES 24.7% 114.49 1,550 177,403
18 TAŞKESİĞİ GES 24.8% 100.64 1,878 189,018
19 FERNAS-4 GES 24.8% 150.47 4,160 625,975
20 EDİKLİ GES 25.0% 105.24 1,886 198,475
21 HAMAL GES 25.0% 126.24 1,411 178,104
22 ÖZGÜÇLÜ GES 25.0% 107.70 1,886 203,114
23 G4-BOR3 GES 25.0% 129.51 20,766 2,689,494
24 G4-BOR2 GES 25.0% 132.39 21,799 2,885,888
25 GÜN GÜNEŞ VAN ARISU GES 25.1% 80.09 9,381 751,367
26 G3-GAZİANTEP-2-1 GES 25.2% 188.15 4,146 780,047
27 G3-GAZİANTEP-1-1 GES 25.2% 189.72 4,139 785,213
28 AFTA GES 25.8% 204.33 2,001 408,893
29 TEKSİN GES 26.3% 137.46 5,583 767,469
30 G3-GAZİANTEP-3-1 GES 26.3% 199.08 2,093 416,764
31 SİLOPİ GES 26.8% 87.46 1,076 94,116
32 G4-ERZİN-1 GES 28.6% 202.46 7,415 1,501,212
33 G4-ERZİN-2 GES 29.0% 204.83 11,943 2,446,180
34 BÜGET GES(KAROMAD) 29.2% 123.97 1,211 150,141
35 SOLANA KONYA GES 29.5% 218.23 453 98,858
36 CINGILLI GES 29.8% 105.07 4,922 517,085
37 RA GÜNEŞ MARDİN GES 31.6% 171.93 1,684 289,560
38 ALİBEYHÖYÜĞÜ GES 31.6% 104.45 3,318 346,550
39 G3-AĞRI-2-2 GES 32.6% 157.68 2,237 352,748
40 SERRA GES 32.9% 115.54 1,046 120,798
41 RENOE ACIPAYAM GES 33.4% 228.43 1,613 368,437
42 G4-VİRANŞEHİR-7 GES 33.5% 312.95 3,103 971,135
43 G4-VİRANŞEHİR-5 GES 34.5% 304.77 3,096 943,654
44 G4-BOR-1 GES 34.9% 228.56 21,307 4,869,908
45 G3-AĞRI-1-2 GES 35.2% 178.33 2,210 394,191
46 G4-VİRANŞEHİR-8 GES 35.6% 321.48 3,026 972,803
47 G4-VİRANŞEHİR-6 GES 35.6% 227.53 5,693 1,295,295
48 DENİZLİ TAVAS GES 36.6% 172.34 834 143,815
49 G4-VİRANŞEHİR-2 GES 36.8% 257.69 5,676 1,462,730
50 G4-VİRANŞEHİR-10 GES 37.2% 255.84 5,508 1,409,055
51 G4-VİRANŞEHİR-4 GES 41.7% 316.81 4,134 1,309,797
52 G4-VİRANŞEHİR-9 GES 41.7% 332.47 3,798 1,262,906
53 HALK ENERJİ ERZURUM GES 42.1% 163.21 664 108,436
54 G4-VİRANŞEHİR-1 GES 42.5% 376.67 2,813 1,059,540
55 G4-VİRANŞEHİR-3 GES 44.9% 403.96 3,551 1,434,558

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 net imbalance cost (TL) — the algebraic sum of positive and negative settlement differences over all hours.
KÜPST Cost
KÜPST (Katılım Ücreti ve Perakende Satış Tarifesi Primi) is a penalty levied when a plant's monthly net imbalance exceeds a regulatory tolerance band:
  • Solar (GES): 8% of monthly generation (10% before Jan 2026)
  • Wind (RES): 15% of monthly generation (17% before Jan 2026)
The KÜPST unit price equals 3% of max(MCP, SMP, 750 TL/MWh) for the relevant hour. Only the portion of imbalance that exceeds the tolerance band attracts the penalty.
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 ranked by their monthly imbalance percentage, defined as |Net Imbalance MWh| ÷ Generation MWh × 100. A lower value indicates better forecast accuracy. The bar chart shows the best and worst performers for the selected month; the full ranked list appears in the table below.
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

ELAZIĞ HİBRİT BES/GESZero production and zero forecast for the entire period
ALAGES ADİLCEVAZ GESAnomalously high imbalance — set aside as not representative of forecast performance
ALİAĞA-1 GESBalancing Power Market (DGP) participant / commanded curtailment — not a forecast imbalance
ARTUKLU-1 GESBalancing Power Market (DGP) participant / commanded curtailment — not a forecast imbalance
IĞDIR DGESBalancing Power Market (DGP) participant / commanded curtailment — not a forecast imbalance
OZE DEPOLAMALI GESBalancing Power Market (DGP) participant / commanded curtailment — not a forecast imbalance
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.