Data Dictionary

ID
id
Typ
int4
Etikett
index

ID
date
Typ
date
Etikett
Date

ID
state_name
Typ
text
Etikett
State Name

ID
state_code
Typ
text
Etikett
State Code

ID
region
Typ
text
Etikett
Region

ID
wind_energy
Typ
numeric
Etikett
Wind Energy

ID
solar_energy
Typ
numeric
Etikett
Solar Energy

ID
other_renewable_energy
Typ
numeric
Etikett
Other RES (Biomass, Bagasse, Small Hydro and Others)

ID
total_renewable_energy
Typ
numeric
Etikett
Total Renewable Energy

Mer information

Fält Värde
Data senast uppdaterad 26 maj 2025
Metadata senast uppdaterad 19 december 2025
Skapad 13 december 2024
Format CSV
Licens Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://cea.nic.in/daily-renewable-generation-report/?lang=en
Data insightsData Insights that can be drawn: Temporal Patterns: Understand the daily fluctuation of renewable energy generation over time. Spatial Patterns: Analyze which states or regions have the highest renewable energy generation and their primary sources. Renewable Energy Type: Identify which types of renewable energy (e.g., wind, solar, hydro) are most prominent and how their generation varies daily.
Data last updated2025-04-27
Data retreival date2025-05-02
Datastore activeTrue
FrequencyDaily
Geo columns['state_code']
GranularityState
Has viewsTrue
Id64942de9-2149-466c-82f7-49cc2d63aa93
Idp readyTrue
Lgd mappingyes
MethodologyThe data is sourced from the official website of the Central Electricity Authority (CEA) of India. It's a governmental organization responsible for the technical coordination and supervision of various activities in the Indian power sector. Data in this dataset is likely compiled from daily reports submitted by different power stations across the country to the CEA.
Mimetypetext/csv
No indicators4
Package id6b0ff86f-1a92-40a6-93fa-086be0334c8e
Position6
Size4,3 MiB
Skumop-renewable_energy_state-st-dl-abc
Stateactive
States uts no35
Url typeupload
Years covered2019-2024
Methodology The data is sourced from the official website of the Central Electricity Authority (CEA) of India. It's a governmental organization responsible for the technical coordination and supervision of various activities in the Indian power sector. Data in this dataset is likely compiled from daily reports submitted by different power stations across the country to the CEA.
Indicators []
Similar Resources
Granularity Level State
Data Extraction Page https://cea.nic.in/daily-renewable-generation-report/?lang=en
Data Retreival Date 2025-05-02
Data Last Updated 2025-04-27
Sku mop-renewable_energy_state-st-dl-abc
Dataset Frequency Daily
Years Covered 2019-2024
No of States/UT(s) 35
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Mer information nan
Number of Indicators 4
Insights from the dataset Data Insights that can be drawn: Temporal Patterns: Understand the daily fluctuation of renewable energy generation over time. Spatial Patterns: Analyze which states or regions have the highest renewable energy generation and their primary sources. Renewable Energy Type: Identify which types of renewable energy (e.g., wind, solar, hydro) are most prominent and how their generation varies daily.
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code']