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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,423 datasets
Licensed Blocks BNG is a geospatial dataset detailing areas granted for petroleum prospecting, exploration, and extraction in Great Britain and the UK Continental Shelf. The data is managed by the North Sea Transition Authority under the Petroleum Act 1998 and includes three related datasets: Licences, Licence Blocks, and Sub Areas. It was last updated on November 16, 2025.
A dataset on global oil reserves, likely focusing on leading reserve countries. The description suggests it includes insights related to geopolitical threats such as war, with a reference year of 2025. The dataset is hosted on Kaggle, but specific authorship, collection methodology, and detailed structure are not provided.
Electricity distribution assets from UK Power Networks. The dataset's specific size, structure, and temporal coverage are unknown.
Complete data series for all oil products, flows, and countries. The dataset is sourced from the Joint Organisations Data Initiative (JODI) and is tagged for data visualization and analytics related to the oil and gas sector. Specific row counts, column details, and temporal coverage are not provided in the input.
OpenML hosts a dataset on electricity consumption and load prediction. The dataset is tagged for time-series analysis and energy forecasting tasks. Its specific origin, size, and temporal coverage are not detailed in the provided metadata.
25,000 examples built by WithinUsAI to train models for renewable energy topics. The dataset likely contains information on solar PV yield modeling, wind energy capacity factors, hydropower storage, and geothermal estimation. It was last updated on January 3, 2026.
Oil painting images are paired with data on eco-material attributes. The dataset supports analysis of biodegradable and environmentally friendly materials used in art creation and conservation.
This dataset tracks daily prices for Brent crude, WTI crude, and US gasoline, including pump price data across 50 states. It relates to events such as a Hormuz shipping collapse, framed within a scenario of an Iran war oil shock in 2026.
Airfoil Self-Noise is a dataset from the UCI Machine Learning Repository containing measurements of aerodynamic noise generated by airfoils. The data was compiled from wind tunnel experiments at NASA. It is used for modeling the sound pressure level from various airfoil configurations and flow conditions.
Individual household electric power consumption data, likely from smart meter readings. The dataset originates from the UCI Machine Learning Repository, a common source for benchmark datasets. Specific details on volume, time period, and collection method are not provided in the input.
COIL 2000 benchmark data provides a standardized set for insurance analytics. It was contributed to the UCI Machine Learning Repository for a competition. The dataset is used to model customer behavior and insurance product attributes.
NYSERDA reports on large-scale renewable energy projects in New York State, tracking projects that are completed, operational, cancelled, or under development. The dataset covers projects awarded through specific solicitations beginning in 2004, with information updated as projects reach commercial operation. It provides a record of project status and program participation over two decades.
OpenML hosts a dataset on electricity consumption and load prediction. The dataset is tagged for time-series analysis and energy forecasting tasks. Its specific origin, size, and temporal coverage are not detailed in the provided metadata.
Electricity consumption data likely containing time-stamped measurements of power usage. The dataset's origin and scale are unspecified, sourced from the OpenML platform. No information is available regarding its creation date or the organization responsible.
Electricity data from the OpenML platform. The dataset's specific temporal coverage, size, and origin are not detailed in the provided metadata. Further investigation on the source platform is required to confirm its contents and scope.
Electricity data likely containing consumption or demand metrics. The dataset originates from the OpenML platform, but specific details on volume, creator, and temporal coverage are unavailable. Further investigation is required to determine its exact scope and contents.
Electricity consumption data likely containing time-stamped measurements of power usage. The dataset's origin and scale are unspecified, sourced from the OpenML platform. No information is available regarding its creation date or the organization responsible.
Electricity data from the OpenML platform. The dataset's specific temporal coverage, size, and origin are not detailed in the provided metadata. Further investigation on the source platform is required to confirm its contents and scope.
Electricity data likely containing consumption or demand metrics. The dataset originates from the OpenML platform, but specific details on volume, creator, and temporal coverage are unavailable. Further investigation is required to determine its exact scope and contents.
Electricity consumption data is available for analysis through the OpenML platform. The dataset's specific origin, size, and temporal coverage are not detailed in the provided metadata. Further investigation on OpenML is required to determine the exact source, collection method, and update history.