Data Dictionary

Mer information

Fält	Värde
Data senast uppdaterad	26 maj 2025
Metadata senast uppdaterad	19 december 2025
Skapad	12 februari 2024
Format	CSV
Licens	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
Geo columns	['state_code']
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	5
Size	23,4 MiB
Sku	mop-renewable_energy_generation-pl-dl-aaa
State	active
States uts no	11
Tags	['Renewable Energy', 'Daily Generation', 'Power Stations', 'India Energy', 'State-wise Analysis', 'Energy Capacity', 'Central Electricity Authority', 'ISGS', 'Inter-State Generating Station']
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
Mer 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
Mapping Status %
Geo Columns	['state_code']