Daily Renewable Energy Generation
The "Daily Renewable Energy Generation" dataset provides insights into the daily energy generation from renewable sources across various states in India. It outlines the type of renewable energy region and state-wise, and energy generated daily.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- date
- Type
- date
- Label
- Date
- ID
- state_name
- Type
- text
- Label
- State Name
- ID
- state_code
- Type
- text
- Label
- State Code
- ID
- region
- Type
- text
- Label
- Region
- ID
- wind_energy
- Type
- numeric
- Label
- Wind Energy
- ID
- solar_energy
- Type
- numeric
- Label
- Solar Energy
- ID
- other_renewable_energy
- Type
- numeric
- Label
- Other RES (Biomass, Bagasse, Small Hydro and Others)
- ID
- total_renewable_energy
- Type
- numeric
- Label
- Total Renewable Energy
Additional Information
Field | Value |
---|---|
Data last updated | May 2, 2025 |
Metadata last updated | May 2, 2025 |
Created | December 13, 2024 |
Format | CSV |
License | Open Data Commons Attribution License |
Additional info | nan |
Data extraction page | https://cea.nic.in/daily-renewable-generation-report/?lang=en |
Data insights | 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. |
Data last updated | 2025-04-27 |
Data retreival date | 2025-05-02 |
Datastore active | True |
Frequency | Daily |
Granularity | State |
Has views | True |
Id | f009766a-c8b1-4322-91dd-f13dd653b45b |
Idp ready | True |
Lgd mapping | yes |
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. |
Mimetype | text/csv |
No indicators | 4 |
Package id | 6b0ff86f-1a92-40a6-93fa-086be0334c8e |
Position | 8 |
Size | 4.1 MiB |
Sku | mop-renewable_energy_india-st-dl-abc |
State | active |
States uts no | 35 |
Url type | upload |
Years covered | 2019-2024 |
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_india-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 | |
Additional 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 |