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Council on Energy, Environment and Water

Current S-Index

24.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.3

Average Dataset Index per dataset

Total Datasets

19

Total datasets in this organization

Average FAIR Score

17.0%

Average FAIR Score per dataset

Total Citations

37

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

CEEW - Crop Residue Management Practices of Farmers Survey 2023 (Version: 1.2)

The dataset contains the results of a farmers' crop residue management practices survey conducted by CEEW in 2023 in Punjab, India. Around 1500 farmers were interviewed across 11 districts in the state.

Authors

  • Kemanth, Kurinji ;
  • Singh, Ramandeep ;
  • Ignatious, Sneha Maria
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.7910/dvn/rwsyrmJanuary 2024

India Residential Energy Survey (IRES) 2020 (Version: 1.2)

The India Residential Energy Survey (IRES) 2020 is the first-ever pan-India survey on the state of energy access, consumption, and energy efficiency in Indian homes. It covers nearly 15,000 households in 1210 villages and 614 wards in 152 districts across 21 states. Conducted in 2019 in collaboration with the Initiative for Sustainable Energy Policy (ISEP). Using the nationally representative IRES, we can analyse the assessment of the quality and reliability of power supply and consumer satisfaction with electricity services. Further, it can be used to analyse the consumers' perception on how distribution companies (discoms) handle the metering, billing, and payment collection (MBC) process across households. It can be used to proposes strategies to fill the remaining gaps to realise the goal of universal, affordable, and reliable electricity access among all Indian households.

Authors

  • Agrawal, Shalu ;
  • Mani, Sunil ;
  • Jain, Abhishek ;
  • Ganesan, Karthik ;
  • Urpelainen, Johannes
7 Citations0 Mentions15% FAIR3.4 Dataset Index
10.7910/dvn/u8nyupJanuary 2021

High frequency smart meter data from two districts in India (Mathura and Bareilly) (Version: 2.0)

This high-frequency three minutes interval smart meter dataset provides information on urban household electricity consumption patterns from nearly 100 smart meters installed in Mathura and Bareilly districts of Uttar Pradesh, India from May 2019 to October 2021. Apart from this, the data also provides information on the situation of power supply (including hours of power supply, voltage, current withdrawn and other related variables). The data can have various use cases for researchers and practitioners working in the power sector domain. For instance, power distribution companies (discoms) can utilise the smart meter data for effective service delivery and demand management.

Authors

  • Agrawal, Shalu ;
  • Mani, Sunil ;
  • Ganesan, Karthik ;
  • Jain, Abhishek
6 Citations0 Mentions15% FAIR3.4 Dataset Index
10.7910/dvn/gochjhJanuary 2021

Replication_Village_data.tab

:unav

Authors

  • Sharma, Anjali ;
  • Agrawal, Shalu ;
  • Urpelainen, Johannes
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.7910/dvn/plxne3/va1zxkJanuary 2020

Replication_HH_data.tab

:unav

Authors

  • Sharma, Anjali ;
  • Agrawal, Shalu ;
  • Urpelainen, Johannes
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.7910/dvn/plxne3/au9f1mJanuary 2020

Replication Data for: The Adoption and Use of Solar Mini-Grids in Grid-Electrified Indian Villages (Version: 1.0)

Replication Data for: Sharma, Anjali; Agrawal, Shalu, and Urpelainen, Johannes. "The Adoption and Use of Solar Mini-Grids in Grid-Electrified Indian Villages" Energy for Sustainable Development.<br>The survey data comes from:Shalu Agrawal; Nidhi Bali; Johannes Urpelainen; Aseem Mahajan; Daniel Robert Thomas; Sidhartha Vermani; Ryan Kennedy; Smart Power India; Initiative for Sustainable Energy Policy, 2019, "Rural Electricity Demand in India (REDI)"

Authors

  • Sharma, Anjali ;
  • Agrawal, Shalu ;
  • Urpelainen, Johannes
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.7910/dvn/plxne3January 2020

clean_code_rep.R

Replication code for manuscript

Authors

  • Thomas, Daniel ;
  • Agrawal, Shalu ;
  • Harish, S P ;
  • Mahajan, Aseem ;
  • Urpelainen, Johannes
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.7910/dvn/tdmtrv/llvxrsJanuary 2020

HH data CLEAN FULL - with wattage and consumption.tab

Data for replication

Authors

  • Thomas, Daniel ;
  • Agrawal, Shalu ;
  • Harish, S P ;
  • Mahajan, Aseem ;
  • Urpelainen, Johannes
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.7910/dvn/tdmtrv/2wq0ufJanuary 2020

README.rtf

:unav

Authors

  • Thomas, Daniel ;
  • Agrawal, Shalu ;
  • Harish, S P ;
  • Mahajan, Aseem ;
  • Urpelainen, Johannes
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.7910/dvn/tdmtrv/thnktcJanuary 2020

Replication data for: Influence of improved supply on household electricity consumption - Evidence from rural India (Version: 1.0)

Replication data for Agrawal, Shalu, S.P. Harish, Aseem Mahajan, Daniel Robert Thomas, and Johannes Urpelainen. 2020. “Influence of Improved Supply on Household Electricity Consumption - Evidence from Rural India.” Energy. August.

Authors

  • Agrawal, Shalu
2 Citations0 Mentions15% FAIR1.0 Dataset Index
10.7910/dvn/4uxyoxJanuary 2020