Post, September 29, 2026 • (Lawrence Berkeley National Laboratory) This dataset was curated from an office building constructed in 2015 in Berkeley, California, which includes whole-building and end-use energy consumption, HVAC system operating conditions, indoor and outdoor environmental parameters, and occupant counts. The data was collected in three years from more than 300 sensors and...
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AlphaBuilding – Synthetic Buildings Operation Dataset
Post, September 29, 2026 • (Lawrence Berkeley National Laboratory) This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with 1395 annual simulations using the U.S. DOE detailed medium-sized reference office...
An experimental database of cell performance for vanadium redox flow battery
Post, September 29, 2026 • (Pacific Northwest National Laboratory) The continual growth in energy demand has resulted in the deployment of renewable energy generators to reduce the impact of fossil fuel dependence. However, these generators often suffer from intermittency and require energy storage when there is over-generation and the subsequent release of this stored energy...
ARPA-E PERFORM datasets
Post, September 29, 2026 • (National Laboratory of the Rockies) Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021. For ERCOT...
Artificial Intelligence-Enhanced CMIP6 Climate Projections Across the Conterminous United States
Post, September 29, 2026 • (Oak Ridge National Laboratory) This dataset comprises high-resolution climate projections at 1/24 degree grid (~4km) over the conterminous United States (CONUS) based on ten Global Climate Models (GCMs) that are part of the Coupled Models Intercomparison Project phase 6 (CMIP6). The CMIP6 GCMs are downscaled using two artificial intelligence (AI)...
ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols, Version 2
Post, September 29, 2026 • (Oak Ridge National Laboratory, National Aeronautics and Space Administration) This dataset provides information on greenhouse gases and human-produced air pollution, including atmospheric concentrations of carbon dioxide (CO2), methane (CH4), tropospheric ozone (O3), and black carbon (BC) aerosols, collected during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. This dataset...
Battery test data – fast formation study
Post, September 29, 2026 • (University of Michigan) The goal of this research is to investigate the impact of fast formation protocol on battery lifetime. The dataset has also been used to explore data-driven approaches in battery lifetime estimation (manuscript under review). Source code used to generate the results for this work has been included....
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
Post, September 29, 2026 • (National Laboratory of the Rockies) Buildings-900K can be used for pretraining models on day-ahead STLF for residential and commercial buildings. The specific gap it fills is the lack of large-scale and diverse time series datasets of sufficient size for studying pretraining and finetuning with scalable machine learning models. Buildings-900K consists...
CASAS Smart Home dataset – free living, motion, door, activity labels
Post, September 29, 2026 • (Washington State University) This dataset represents ambient data collected longitudinally in 189 community homes. The data are collected over 18 years, from 2007 to 2024. This is a resource for analyzing naturalistic behavior in a home and building activity recognition models that operate in the wild. Data are collected continuously...
CASAS Smart Home dataset – scripted activities, performed separately and collaboratively by multiple residents
Post, September 29, 2026 • (Washington State University) This dataset represents sensor events collected in the CASAS smart apartment testbed at Washington State University. Data are collected for 26 pairs of participants, 52 participants in total. Each file represents two participants, Person A and Person B, in the apartment at the same time performing fifteen...
CASAS Smart Home dataset – scripted activities, separated and interweaved
Post, September 29, 2026 • (Washington State University) This dataset represents sensor events collected in the CASAS smart apartment testbed at Washington State University. The data represents participants performing eight iADL (instrumental ADL) activities in the apartment. The participants first perform each task separately (the data is stored in separate files for each activity) then...
CASAS Smart Home dataset – scripted activities, with and without activity errors
Post, September 29, 2026 • (Washington State University) These two datasets represent sensor events collected in the CASAS smart apartment testbed at Washington State University. In both sets of data, ambient sensor readings are collected while 20 participants performing five ADL activities in the apartment. This resource is valuable for designing and validating activity recognition...
CERTS Microgrid Test Bed Demonstration Data
Post, September 29, 2026 • (Lawrence Berkeley National Laboratory, University of Wisconsin, Advanced Microgrid Systems, American Electric Power, Sandia National Laboratories, Ohio State University) The objective of the CERTS Microgrid Test Bed Demonstration, which was hosted by American Electric Power, was to enhance the ease of integrating small energy sources into a microgrid. The project...
Chiller operation data set
Post, September 29, 2026 • (American Society of Heating, Refrigerating, and Air-Conditioning Engineers) The ASHRAE RP-1043 dataset comes from a research project by the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) and focuses on the fault diagnosis of chillers. It records the operating parameters of chillers under different fault conditions, including temperature, pressure,...
Colorado Electrical Transmission Grid
Post, September 29, 2026 • (Flint Geothermal LLC) This layer contains transmission network of Colorado as released by Xcel Energy. Link to Dataset Colorado Electrical Transmission GridDate last updated: 2012
Data and Code for Analysis presented in NIST TN 2137: Quantifying Operational Resilience Benefits of the Smart Grid
Post, September 29, 2026 • (National Institute of Standards and Technology) Automated systems for network protection, outage management, and restoration enable electric utilities to maintain service continuity through network reconfiguration. We evaluate the impact of interoperability investments on distribution system resilience during Hurricane Irma through a reduced form analysis of sustained customer outages. The expected...
Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms
Post, September 29, 2026 • (Lawrence Berkeley National Laboratory) This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NLR, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's...
Data tables for Annual Supplement to Handbook 135- 2025 Release
Post, September 29, 2026 • (National Institute of Standards and Technology) Data tables for the 2025 edition of energy price indices and discount factors for performing life-cycle cost analyses of energy and water conservation and on-site energy generation projects in federal facilities. These data tables are associated with the 2025 release of the Annual Supplement...
Data-Driven Decision-Making for Buildings and Infrastructure
Post, September 29, 2026 • (Pacific Northwest National Laboratory) Current methods for product or material input-output inventory data often require significant time and effort from manufacturers to compile. Additionally, without a uniform methodology these can result in inconsistent datasets that are difficult for practitioners to evaluate and compare, even within similar product categories. To address...
Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States
Post, September 29, 2026 • (Sandia National Laboratories) This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events. After being processed with machine...
Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
Post, September 29, 2026 • (Oak Ridge National Laboratory) An open-source dataset of the measured weather data, building indoor data, and system data under the different test settings. The test building is the two-story Flexible Research Platform building at the US Department of Energy’s Oak Ridge National Laboratory, in Oak Ridge, Tennessee. Four heating tests...
Distributed Solar Photovoltaic Array Location and Extent Data Set for Remote Sensing Object Identification
Post, September 29, 2026 • (Duke University) Earth-observing remote sensing data, including aerial photography and satellite imagery, offer a snapshot of the world from which we can learn about the state of our environment, anthropogenic systems, and natural resources. The components of energy systems that are visible from above may be assessed with these remote...
Dynamic Temporal Graph Sequence Data for Resilience-Oriented Distribution Network Reconfiguration
Post, September 29, 2026 • (Oak Ridge National Laboratory) This dataset comprises temporal dynamic graph sequences generated from power grid simulations focused on grid reconfiguration to enhance resilience. The simulations model failure propagation under varying conditions, with nodes assigned distinct failure probabilities. For each time step, the dataset captures the evolution of node states (functional...
EAGLE-I Power Outage Data 2014-2022
Post, September 29, 2026 • (Oak Ridge National Laboratory) The provided EAGLE-I historic dataset includes eight years of power outage information at the county level from 2014 to 2022 at 15-minute intervals collected by the EAGLE-I program at ORNL. The data has been collected from utility's public outage maps using an ETL process. The dataset...
EAGLE-I Power Outage Data 2025
Post, September 29, 2026 • (Oak Ridge National Laboratory) The provided EAGLE-I historic dataset includes power outage information at the county level for 2025 at 15-minute intervals collected by the EAGLE-I program at ORNL. The data has been collected from utility's public outage maps using an ETL process. The dataset details FIPS code, county name,...
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