Energy Reports
ISSN: 2352-4847
Datasets associated with articles published in Energy Reports
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- Data for: Will Poland fulfill its coal commitment by 2030? An answer based on a novel time series prediction methodCoal consumption in Poland
- Data for: A disaggregated approach of analyzing the effect of electricity on carbon emissions: Evidence from African countries Eview file
- Data for: CARBON CAPTURE TECHNOLOGIES FOR CLIMATE CHANGE MITIGATION: A BIBLIOMETRIC ANALYSIS OF THE SCIENTIFIC DISCOURSE DURING 1998-2018 These are the raw data obtained from Web of Science, and were used for this study.
- Data for: Quantitative Analysis Method of Oil Occurrences in Tight ReservoirQuantitative Analysis Method of Oil Occurrences in Tight Reservoir
- Data for: Photovoltaic system with quantitative comparative between an improved MPPT and existing INC and P&O methods under fast varying of solar irradiationThis data presents the PSIM files of "Photovoltaic system with quantitative comparative between an improved MPPT and existing INC and P&O methods under fast varying of solar irradiation" paper. Please, refer to : https://www.sciencedirect.com/science/article/pii/S2352484717302998
- Data for: Natural gas distribution proposal in Lima's urban hills through lean logistic and mixed whole linear programmingResearch for: Natural gas distribution proposal in Lima's urban hills through lean logistic and mixed whole linear programming
- Data for: A Hierarchical Fuzzy Data Envelopment Analysis for Wind Turbine Site Selection in IndonesiaThe data sets contain data for province and district levels of the DEA model
- Data for: Optimization of Energy Performance with Solar PV Sizing using Multiple Objective Functions The Regression Analysis Tool for the Different Energy Stocks
- Data for: The forecasting power of EPU for crude-oil return volatilityBlent.xlsx is the crude oil prices drives the Brent crude oil volatility. EPU.xlsx is the EPU data of our collected.OVX.xlsx is the Crude Oil Volatility index data.
- Data for: Text detection and Recognition in Raw Image Dataset of Seven Segment Digital Energy Meter Display The raw dataset contains images of digital energy meters (seven segment numerals). The total number of samples collected is 169. All the samples are collected from consumer premises at Tamilnadu, india. The images captured in a way that there is no flash or reflection from the display. The labelling process has been done using the ‘labelbox’ tool for the collected images. The COCO annotation JSON file is available with the link.