Dicionario de datos

ID
id
Tipo
int4
Etiqueta
index

ID
date
Tipo
date
Etiqueta
Date

ID
state_name
Tipo
text
Etiqueta
State Name

ID
state_code
Tipo
text
Etiqueta
State Code

ID
region
Tipo
text
Etiqueta
Region

ID
wind_energy
Tipo
numeric
Etiqueta
Wind Energy

ID
solar_energy
Tipo
numeric
Etiqueta
Solar Energy

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

ID
total_renewable_energy
Tipo
numeric
Etiqueta
Total Renewable Energy

Información adicional

Campo Valor
Última actualización de datos 26 de maio de 2025
Última actualización de metadatos 26 de maio de 2025
Creado 13 de decembro de 2024
Formato CSV
Licenza 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
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
Información adicional 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 %