The NYSERDA-funded Integrated Energy Data Resource (IEDR) provides a single statewide platform to securely collect, integrate, analyze, and make accessible a large and diverse set of energy-related information from New York's electric, gas, and steam utilities and other sources. Useful access to useful energy data provided by the IEDR enables analyses that informs investment decisions, identifies operational inefficiencies, monitors the effectiveness of policy objectives, promotes innovation, and encourages new business models. The IEDR includes analytic tools to enable energy stakeholders to design and run useful queries and calculations that can operate across all data types in the IEDR. Those tools' number and functionality should increase over time to align with, and support the use cases, that become operational as part of the IEDR. Additionally, relational information that describes the relationships among the various data elements in the IEDR materially affects the depth potential of users' ability to find, analyze, and generate useful information. User access to the IEDR data and analytic tools will be governed by the access controls that reflect and align with each type of user's legitimate needs while preventing unwarranted access to information that does not serve those legitimate needs. Public, utility-managed, and commercial datasets processed by the platform and made available or planned to be made available to approved users in various forms include: • Feeder and sub-feeder hosting capacity • Installed and queued DER projects • Utility Rates and Tariffs • Customer billing and usage • Aggregated building usage • Disadvantaged Community Characteristics • Land, Parcel, and Terrain attributes The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, it is critical to understand how and when energy is used. High quality end-use load profiles (EULPs) provide this information, and can help cities, states, and utilities understand the time-sensitive value of energy efficiency, demand response, and distributed energy resources. Publicly available EULPs have traditionally had limited application because of age and incomplete geographic representation. To help fill this gap, the U.S. Department of Energy (DOE) funded a three-year project, End-Use Load Profiles for the U.S. Building Stock, that culminated in this publicly available dataset of calibrated and validated 15-minute resolution load profiles for all major residential and commercial building types and end uses, across all climate regions in the United States. These EULPs were created by calibrating the ResStock and ComStock physics-based building stock models using many different measured datasets, as described in the "Technical Report Documenting Methodology" linked in the submission.

These data were collected in Greece through an anonymous survey. They contain information about the electricity consumption of households, their property type and size and, the number of occupants, their age, their educational and financial status. Moreover, the dataset contains information about some energy-related behaviors of the occupants along with some extracted indices. An article that provides more specific information is under review in a scientific journal.

This API provides international data on renewable electricity capacity and electricity generation. Data organized by country. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER - Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,527 individual experimental runs spanning 30,582 distinct configurations: 13 datasets, 20 sizes (number of trainable parameters), 8 network "shapes", and 14 depths on both CPU and GPU hardware collected using node-level watt-meters. This dataset reveals the complex relationship between dataset size, network structure, and energy use, and highlights the impact of cache effects.

BUTTER-E is intended to be joined with the BUTTER dataset (see "BUTTER - Empirical Deep Learning Dataset on OEDI" resource below) which characterizes the performance of 483k distinct fully connected neural networks but does not include energy measurements.

Note: Find data at source. ・ The DOE Global Energy Storage Database provides research-grade information on grid-connected energy storage projects and relevant state and federal policies. All data can be exported to Excel or JSON format. As of September 22, 2023, this page serves as the official hub for The Global Energy Storage Database.

This API provides international data on energy sources (e.g., coal, electricity, natural gas, petroleum, coal, renewables) and activities (e.g., consumption, imports, exports, carbon emissions, prices, production). Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Note: Find data at source; data is continuously updated・ PG&E provides non-confidential, aggregated usage data that are available to the public and updated on a quarterly basis. These public datasets consist of monthly consumption aggregated by ZIP code and by customer segment: Residential, Commercial, Industrial and Agricultural. The public datasets must meet the standards for aggregating and anonymizing customer data pursuant to CPUC Decision 14-05-016, as follows: a minimum of 100 Residential customers; a minimum of 15 Non-Residential customers, with no single Non-Residential customer in each sector accounting for more than 15% of the total consumption. If the aggregation standard is not met, the consumption will be combined with a neighboring ZIP code until the aggregation requirements are met.

Note: Find data at source. ・ The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale utility-reported energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315. The order requires utilities under its regulation to develop and report community energy use data to the UER.This dataset includes electricity and natural gas usage data reported at the city, town, and village level collected under a data protocol in effect between 2016 and 2021. Other UER datasets include energy use data reported at the county and ZIP code level. Data collected after 2021 were collected according to a modified protocol. Those data may be found at https://data.ny.gov/Energy-Environment/Utility-Energy-Registry-Monthly-Community-Energy-U/4txm-py4p.Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld.

The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded at the AWS S3 explorer page. The GitHub documentation page provides a description of the dataset with methods and assumptions. The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level.

The Modernising Energy Data Access (MEDA) competition was set up by Innovate UK and the Modernising Energy Data group to help develop the concept of a Common Data Architecture (CDA) for the Energy Sector. One of the main goals of the Common Data Architecture is to improve data sharing across the energy sector and make data more interoperable across organisations. Energy Consumption is one of the most sought after datasets needed by the organisations that we have worked with throughout a variety of the Modernising Energy Data projects, and although getting a household level of this information comes against GDPR challenges and is therefore non-accessible for the vast majority of organisations, breaking consumption down into smaller areas can be hugely beneficial for gaining insights into how energy is consumed within the UK. We have amalgamated Gas and Electricity consumption per Lower Layer Super Output Area (LSOA) which is available to download via file transfer, or via API

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale utility-reported energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315. The order requires utilities under its regulation to develop and report community energy use data to the UER. This dataset includes electricity and natural gas usage data reported at the county level level collected under a data protocol in effect between 2016 and 2021. Other UER datasets include energy use data reported at the city, town, and village, and ZIP code level. Data collected after 2021 were collected according to a modified protocol. Those data may be found at https://data.ny.gov/Energy-Environment/Utility-Energy-Registry-Monthly-County-Energy-Use-/46pe-aat9. Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

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This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database (https://openei.org/apps/USURDB/).

This database represents a list of community solar projects identified through various sources as of Spring 2018. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the souces e.g. press releases may be duplicated in the list. Blank spaces represent missing information. NREL invites input to improve the database including to - correct erroneous information - add missing projects - fill in missing information - remove inactive projects. Updated information can be submitted to Eric O'Shaughnessy at eric.oshaughnessy@nrel.gov.

United States Electricity Net Generation: EP: RE: Solar Energy data was reported at 6,045.113 kWh mn in Apr 2018. This records an increase from the previous number of 5,046.922 kWh mn for Mar 2018. United States Electricity Net Generation: EP: RE: Solar Energy data is updated monthly, averaging 48.748 kWh mn from Jan 1984 (Median) to Apr 2018, with 412 observations. The data reached an all-time high of 6,173.774 kWh mn in Jun 2017 and a record low of -0.085 kWh mn in Feb 1985. United States Electricity Net Generation: EP: RE: Solar Energy data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.RB067: Electricity Overview.

This data is collected annually via EPA Portfolio Manager.

The data collection requires building owners to measure their energy and water consumption and compare it against that of similar buildings in the city and country.

The data is useful for policy analysts as it provides transparency into energy and water consumption for the city's largest buildings.

Please visit https://www1.nyc.gov/site/buildings/codes/benchmarking.page for additional information.