Skip to main content

EPIAS Transparency Platform 2.0 Unofficial Python Library

Project description

EPİAŞ Transparency Platform 2.0 Python Library

This library enables users to get data from EPİAŞ's Transparency Platform by using simple python functions.

Please note that this is not an official release, and the accuracy or reliability of the data retrieved through this library cannot be guaranteed. Users are advised to exercise caution and verify the data independently before making any decisions based on it.

The author(s) of this library shall not be held responsible for any inaccuracies or damages resulting from the use of the data.

Data input formats should be such as: "YYYY-MM-DD". An example would be : "2024-05-29"

All the functions returns a pandas dataframe.

Currently few selected datasets are available, which are:

epias_mcp(start_date,end_date): Function that returns the MCP for a given interval

epias_kgup(start_date,end_date): Function that returns the DPP's (KGUP) based on resources for a given interval

epias_plant_kgup(start_date,end_date,pl_id,o_id): Function that returns the DPP's (KGUP) based on resources for a given interval (org_id: Organization ID, pl_id: Plant ID) Organization IDs can be obtained via epias_org function Plant IDs can be obtained via epias_uevcb function

epias_org(start_date,end_date): Function that returns the organizations for a given interval

epias_uevcb(start_date,end_date,o_id): Function that returns the UEVCB data for a given interval (o_id: Organization ID)

epias_demand(start_date,end_date): Function that returns the real time electricity consumption for a given interval

epias_idmp(start_date,end_date): Function that returns the intraday markey prices for a given interval

epias_idma(start_date,end_date): Function that returns the trade amount at intraday market for a given interval

epias_smp(start_date,end_date): Function that returns the System Marginal Price for a given interval

epias_yal(start_date,end_date): Function that returns the amount of load orders (YAL) for a given interval

epias_yat(start_date,end_date): Function that returns the amount of deload orders (YAT) for a given interval

epias_sfc(start_date,end_date): Function that returns the SFC prices for a given interval

epias_pfc(start_date,end_date): Function that returns the PFC prices for a given interval

Example 1

from seffaflik2 import epias_mcp

day_ahead_prices = epias_mcp("2024-01-15","2024-03-16")

print(day_ahead_prices)

Example 2

import seffaflik2 as sf

day_ahead_prices = sf.epias_mcp("2024-01-15","2024-03-16")

print(day_ahead_prices)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seffaflik2-0.0.1.tar.gz (3.3 kB view details)

Uploaded Source

Built Distribution

seffaflik2-0.0.1-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file seffaflik2-0.0.1.tar.gz.

File metadata

  • Download URL: seffaflik2-0.0.1.tar.gz
  • Upload date:
  • Size: 3.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.9

File hashes

Hashes for seffaflik2-0.0.1.tar.gz
Algorithm Hash digest
SHA256 e6e5c644e57d38de36fe3fcdca43b31361c8894c6297b5468c48350c714fffee
MD5 b851b4e2bbb110f1cc03fddaa890ce91
BLAKE2b-256 a851b0f993ae93e3c3e2f265b3a505cde4215d5321d33a5c0359980810ea39d2

See more details on using hashes here.

File details

Details for the file seffaflik2-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: seffaflik2-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.9

File hashes

Hashes for seffaflik2-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8a74200a076221c3d8367214ff276e535b70c4c4956aa803006bdc87a3423175
MD5 d1e6359ac153eddf9c73424c9d023943
BLAKE2b-256 4f675f87fdfa59235fc4e13fdb4a6c7712b0747c3507e915a5562961efcd9dc8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page