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Agent skill
eptr2-generation-tracking
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/eptr2-generation-tracking
SKILL.md
Turkish Electricity Generation Tracking with eptr2
Overview
This skill helps you query electricity generation data from Turkey's EPIAS Transparency Platform using the eptr2 Python library.
Quick Start
from eptr2 import EPTR2
# Initialize with environment variables
eptr = EPTR2(use_dotenv=True, recycle_tgt=True)
# Get real-time generation by resource type
rt_gen = eptr.call("rt-generation", start_date="2024-07-29", end_date="2024-07-29")
print(rt_gen)
Available Generation Endpoints
| Call | Description (EN) | Description (TR) |
|---|---|---|
rt-generation |
Real-time generation by resource type | Kaynak Bazlı Gerçek Zamanlı Üretim |
rt-gen |
Real-time generation (same as above) | Gerçek Zamanlı Üretim |
uevm |
Settlement generation (UEVM) | Uzlaştırmaya Esas Veriş Miktarı |
dpp / kgup |
Daily Production Plan | Kesinleşmiş Günlük Üretim Planı (KGÜP) |
rt-gen-org |
Real-time generation by organization | Organizasyon Bazlı GZÜ |
uevm-pp |
UEVM by power plant | Santral Bazlı UEVM |
Resource Types (Fuel Types)
| Turkish | English | Code |
|---|---|---|
| Doğalgaz | Natural Gas | naturalGas |
| Kömür | Coal | coal |
| Linyit | Lignite | lignite |
| İthal Kömür | Imported Coal | importedCoal |
| Rüzgar | Wind | wind |
| Güneş | Solar | sun |
| Hidroelektrik | Hydro | river, dammedHydro |
| Biyokütle | Biomass | biomass |
| Jeotermal | Geothermal | geothermal |
| Nükleer | Nuclear | nuclear |
Composite Function for Generation Data
from eptr2.composite import get_hourly_production_data
df = get_hourly_production_data(
eptr,
start_date="2024-07-29",
end_date="2024-07-29",
verbose=True
)
Output Columns
Columns include _rt (real-time) and _uevm (settlement) suffixes:
| Column | Description |
|---|---|
dt |
Datetime in ISO format |
naturalGas_rt |
Natural gas real-time generation |
wind_rt |
Wind real-time generation |
sun_rt |
Solar real-time generation |
total_rt |
Total real-time generation |
naturalGas_uevm |
Natural gas settlement generation |
total_uevm |
Total settlement generation |
contract |
Contract symbol |
Common Use Cases
1. Total Generation Mix
rt_gen = eptr.call("rt-generation", start_date="2024-07-15", end_date="2024-07-15")
# Sum by resource type
fuel_mix = rt_gen.drop(columns=['date', 'hour']).sum()
total = fuel_mix.sum()
print("Generation Mix (July 15, 2024):")
for fuel, gen in fuel_mix.items():
pct = (gen / total) * 100
print(f" {fuel}: {gen:,.0f} MWh ({pct:.1f}%)")
2. Renewable Energy Share
rt_gen = eptr.call("rt-generation", start_date="2024-07-15", end_date="2024-07-15")
# Define renewable columns
renewables = ['wind', 'sun', 'river', 'dammedHydro', 'geothermal', 'biomass']
renewable_cols = [c for c in rt_gen.columns if any(r in c.lower() for r in renewables)]
rt_gen['renewable'] = rt_gen[renewable_cols].sum(axis=1)
rt_gen['total'] = rt_gen.drop(columns=['date', 'hour']).sum(axis=1)
rt_gen['renewable_share'] = (rt_gen['renewable'] / rt_gen['total']) * 100
print(f"Average Renewable Share: {rt_gen['renewable_share'].mean():.1f}%")
3. Plant-Specific Generation
from eptr2.composite import get_hourly_production_data
# Example: Atatürk Dam (HES)
df = get_hourly_production_data(
eptr,
start_date="2024-07-15",
end_date="2024-07-15",
rt_pp_id=641, # Real-time ID for Atatürk HES
uevm_pp_id=142 # UEVM ID for Atatürk HES
)
print(f"Atatürk Dam Daily Generation: {df['total_rt'].sum():,.0f} MWh")
4. Production Plan vs Actual
from eptr2.composite import get_hourly_production_plan_data
df = get_hourly_production_plan_data(
eptr,
start_date="2024-07-15",
end_date="2024-07-15",
org_id=195, # ELEKTRİK ÜRETİM AŞ
uevcb_id=733 # ATATÜRK HES DB
)
# Compare KGUP (plan) with actual
Understanding Generation Data Types
Real-Time Generation (GZÜ)
- What: Measured generation in near real-time
- When: Available ~15 minutes after each hour
- Use: Monitoring, market tracking
UEVM (Uzlaştırmaya Esas Veriş Miktarı)
- What: Official settlement generation after reconciliation
- When: Available after settlement period (~T+10 days)
- Use: Settlement, billing, final analysis
KGÜP (Kesinleşmiş Günlük Üretim Planı)
- What: Finalized daily production plan
- When: Published day-ahead
- Use: Market planning, deviation analysis
Date Format
Always use ISO format: YYYY-MM-DD (e.g., "2024-07-29")
Authentication
Set credentials in .env file:
EPTR_USERNAME=your_email@example.com
EPTR_PASSWORD=your_password
For More Details
- See examples.md for additional code examples
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