Inter-State Generating Station(ISGS) Renewable...
The "Inter-State Generating Station(ISGS) Renewable Energy Generation" dataset provides insights into the daily energy generation from renewable sources across Inter-State Generating Station in India. It outlines the type of renewable energy, the installed capacity, and the actual 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
- solar_park
- Type
- text
- Label
- Solar Park
- ID
- station
- Type
- text
- Label
- Power Station Name
- ID
- sector
- Type
- text
- Label
- Sector
- ID
- owner
- Type
- text
- Label
- Owner of Station
- ID
- type
- Type
- text
- Label
- Type of Renewable Energy
- ID
- installed_capacity
- Type
- numeric
- Label
- Total Installed Capacity
- ID
- actual_generation
- Type
- numeric
- Label
- Daily Actual Generation
Additional Information
| Field | Value |
|---|---|
| Data last updated | May 2, 2025 |
| Metadata last updated | May 2, 2025 |
| Created | February 12, 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.Capacity vs. Production: Examine if there are any power stations that consistently generate energy below their installed capacity and investigate potential reasons.Ownership Analysis: Determine which owners or entities control the majority of renewable energy production and if there's any correlation between ownership and efficiency. |
| Data last updated | 2025-04-27 |
| Data retreival date | 2025-05-02 |
| Datastore active | True |
| Frequency | Daily |
| Granularity | Power Station |
| Has views | True |
| Id | 9eef0369-a0ed-42c5-890e-e1f2bce2f6cf |
| 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 | 2 |
| Package id | 6b0ff86f-1a92-40a6-93fa-086be0334c8e |
| Position | 6 |
| Size | 19.2 MiB |
| Sku | mop-renewable_energy_generation-pl-dl-aaa |
| State | active |
| States uts no | 11 |
| 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 | Power Station |
| 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_generation-pl-dl-aaa |
| Dataset Frequency | Daily |
| Years Covered | 2019-2024 |
| No of States/UT(s) | 11 |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 2 |
| 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.Capacity vs. Production: Examine if there are any power stations that consistently generate energy below their installed capacity and investigate potential reasons.Ownership Analysis: Determine which owners or entities control the majority of renewable energy production and if there's any correlation between ownership and efficiency. |
| IDP Ready | Yes |
| LGD Mapping | Yes |