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Claude-skill-registry eptr2-price-analysis

Query and analyze Turkish electricity market prices including MCP (PTF/Piyasa Takas Fiyatı), SMP (SMF/Sistem Marjinal Fiyatı), WAP (Ağırlıklı Ortalama Fiyat), and imbalance prices. Use when asking about electricity prices, market clearing prices, day-ahead prices, system marginal prices, weighted average prices, or price comparisons in Turkey's energy market. Triggers on: PTF, SMF, GÖP fiyat, GİP fiyat, elektrik fiyatı.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/eptr2-price-analysis" ~/.claude/skills/majiayu000-claude-skill-registry-eptr2-price-analysis && rm -rf "$T"
manifest: skills/data/eptr2-price-analysis/SKILL.md
source content

Turkish Electricity Price Analysis with eptr2

Overview

This skill helps you query and analyze electricity market prices from Turkey's EPIAS Transparency Platform using the eptr2 Python library.

Quick Start

from eptr2 import EPTR2

# Initialize with environment variables (recommended)
eptr = EPTR2(use_dotenv=True, recycle_tgt=True)

# Get Market Clearing Price (MCP/PTF)
mcp = eptr.call("mcp", start_date="2024-07-29", end_date="2024-07-29")
print(mcp)

Available Price Endpoints

CallAliasDescription (EN)Description (TR)
mcp
ptf
Market Clearing Price (Day-Ahead)Piyasa Takas Fiyatı
smp
smf
System Marginal PriceSistem Marjinal Fiyatı
wap
-Weighted Average Price (Intraday)Ağırlıklı Ortalama Fiyat
imbalance-price
-Positive/Negative Imbalance PricesDengesizlik Fiyatları
interim-mcp
-Interim MCP (before finalization)Kesinleşmemiş PTF
mcp-smp-imb
-Combined MCP, SMP and ImbalancePTF, SMF ve Dengesizlik

Composite Function for Comprehensive Pricing

For complete price and cost analysis including imbalance costs:

from eptr2.composite import get_hourly_price_and_cost_data

df = get_hourly_price_and_cost_data(
    eptr,
    start_date="2024-07-29",
    end_date="2024-07-29",
    include_wap=True,       # Include IDM weighted average price
    add_kupst_cost=True     # Calculate KUPST deviation costs
)

Output Columns

ColumnDescription
date
Datetime in ISO format (+03:00 timezone)
mcp
Market Clearing Price (TL/MWh)
smp
System Marginal Price (TL/MWh)
wap
Weighted Average Price (TL/MWh)
system_direction
Enerji Açığı (deficit), Enerji Fazlası (surplus), Dengede (balanced)
sd_sign
-1 (deficit/up-regulation), 1 (surplus/down-regulation), 0 (balanced)
pos_imb_price
Positive imbalance price (TL/MWh)
neg_imb_price
Negative imbalance price (TL/MWh)
pos_imb_cost
Positive imbalance cost = MCP - pos_imb_price
neg_imb_cost
Negative imbalance cost = neg_imb_price - MCP
kupst_cost
KUPST unit deviation cost

Common Use Cases

1. Daily Price Comparison (MCP vs SMP)

mcp_df = eptr.call("mcp", start_date="2024-07-29", end_date="2024-07-29")
smp_df = eptr.call("smp", start_date="2024-07-29", end_date="2024-07-29")

# Merge for comparison
import pandas as pd
comparison = mcp_df.merge(smp_df, on="date", suffixes=("_mcp", "_smp"))

2. Intraday vs Day-Ahead Price Analysis

# Day-ahead price
mcp_df = eptr.call("mcp", start_date="2024-07-29", end_date="2024-07-29")

# Intraday weighted average price
wap_df = eptr.call("wap", start_date="2024-07-29", end_date="2024-07-29")

# Compare DAM vs IDM
comparison = mcp_df.merge(wap_df, on="date")
comparison["dam_idm_spread"] = comparison["price"] - comparison["wap"]

3. Imbalance Price Analysis

imb_df = eptr.call("imbalance-price", start_date="2024-07-29", end_date="2024-07-29")
# Returns: positiveImbalancePrice, negativeImbalancePrice columns

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

Then initialize with:

eptr = EPTR2(use_dotenv=True, recycle_tgt=True)

For More Details