Diccionari de dades

ID
id
Tipus
int4
Etiqueta
index

ID
date
Tipus
date
Etiqueta
Date

ID
state_name
Tipus
text
Etiqueta
State Name

ID
state_code
Tipus
text
Etiqueta
State Code

ID
region
Tipus
text
Etiqueta
Region

ID
wind_energy
Tipus
numeric
Etiqueta
Wind Energy

ID
solar_energy
Tipus
numeric
Etiqueta
Solar Energy

ID
other_renewable_energy
Tipus
numeric
Etiqueta
Other RES (Biomass, Bagasse, Small Hydro and Others)

ID
total_renewable_energy
Tipus
numeric
Etiqueta
Total Renewable Energy

Informació addicional

Camp Valor
Última actualització de les dades 26 de maig del 2025
Última actualització de les metadades 19 de desembre del 2025
Creat 13 de desembre del 2024
Format CSV
Llicència 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
Idf009766a-c8b1-4322-91dd-f13dd653b45b
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
Position7
Size4,7 MiB
Skumop-renewable_energy_india-st-dl-abc
Stateactive
States uts no35
Tags['Renewable Energy', 'Daily Generation', 'India Energy', 'State-wise Analysis', 'Energy Capacity', 'Central Electricity Authority']
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_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
Informació addicional 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']