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, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

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 ZIP Code level collected under a data protocol in effect between 2016 and 2021. Other UER datasets include energy use data reported at the city, town, village, and county 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-ZIP-Code-Energy-Us/g2x3-izm4.

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.

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale 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, and updated the protocol in a modification order on August 12, 2021. The order requires utilities and CCA administrators 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. Other UER datasets include energy use data reported at the county and ZIP code level.

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 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.

This Time series data includes the Date, Time, Active power and Reactive power, Voltage, and Global intensity including the number of metering devices.

Comparative state-level data for energy production, energy consumption, and utility sales, among others. Each variable includes a national ranking. Dataset is updated annually each summer. See Data Dictionary for definitions and sources.

Counts and shares of Energy & Utilities IoT solutions, vendors, connectivity technologies, use cases and deployment models tracked by IoT Apps.

Applications: Energy Utilities and Gaming Simulation - This dataset tracks real energy utilities application, usage, and online/mobile applications data from cities that have been renamed to futuristic Hellenic cities, while the user data have been altered and anonymized. - The dataset was based on 2014-2017 consumption data from utilities companies training datasets and was originally intended to be fused with multiple other datasets for a massive economy simulation. - The dataset can be used for training in actual energy utilities analyses but is also robust enough for other endeavors, one of which was to be used to simulate an energy economy for a realistic utilities management game.

The files below contain customer energy usage data by customer type (Residential, Commercial, Industrial and Agricultural) that has been aggregated by zip code. To further protect customer energy privacy, zip codes containing usage data that does not meet specific standards set forth in CPUC Decision 14-05-016 are combined with bordering zip codes until the standards are met.SDG&E works closely with third parties that the California Public Utilities Commission has ordered California utilities to share customer information with, or are otherwise authorized to receive lawful access to customer information. Authorized third parties may request information according to the rules set forth in CPUC Decision 14-05-016.Note that data shown within this platform is 2024 Q2 data downloaded from the link listed in reference field.

Complete dataset included in the full report. Detailed tables, regional splits, forecasts, and methodologies are available with purchase.

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, 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.

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/).

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 U.S. Energy Information Adminstration collects and curates self-reported information from energy utilities about energy production and usage in the United States. This data set contains information from over 2,000 U.S. utilities in 2017. The information includes sources of energy, its uses in different economic sectors, and the revenues obtained from the sale of electrical energy.

Data Dictionary

<...

Key	List of...	Comment	Example Value
Utility.Number	Integer	Unique identifier for the utility.	34
Utility.Name	String	Utility Name	"City of Abbeville - (SC)"
Utility.State	String	A two letter abbreviation for the name of the state (e.g., CA for California)	"SC"
Utility.Type	String	Business type (e.g, Municipal, Private)	"Municipal"
Demand.Summer Peak	Float	Peak demand in the summer measured in megawatts	13.7
Demand.Winter Peak	Float	Peak demand in the winter measured in megawatts	10.8
Sources.Generation	Float	Net generation of power measured in megawatt hours	7000.0
Sources.Purchased	Float	Power purchased from other electric utilities measured in megawatt hours	59000.0
Sources.Other	Float	Power obtained from other sources (e.g., exchanged with other utilities) measured in megawatt hours	0.0
Sources.Total	Float	Total power from all sources measured in megawatt hours	66000.0
Uses.Retail	Float	Power sold on the retail market measured in megawatt hours	58000.0
Uses.Resale	Float	Power sold to other utilities for resale measured in megawatt hours	0.0
Uses.No Charge	Float	Power furnished without charge measured in megawatt hours	7000.0
Uses.Consumed	Float	Power consumed by the utility itself measured in megawatt hours	0.0
Uses.Losses	Float	Power losses of all kinds measured in megawatt hours	1000.0
Uses.Total	Float	Total power used for all purposes measured in megawatt hours	66000.0
Revenues.Retail	Float	Revenue from retail power sales measured in thousands of US dolllars	7536.0
Revenue.Delivery	Float	Revenue from customers who delivered power measured in thousands of US dollars	0.0
Revenue.Resale	Float	Revenue from sale of power to other utilities for resale measured in thousands of US dollars	0.0
Revenue.Adjustments	Float	Revnue from credits or other adjustments measured in thousands of US dollars	0.0
Revenue.Transmission	Float	Revenue from transmission of power measured in thousands of US dollars	0.0
Revenue.Other	Float	Revenue of all other kinds measured in thousands of US dollars	0.0
Revenue.Total	Float	Total revenue from all sources measured in thousands of US dollars	7536.0
Retail.Residential.Revenue	Float	Revenue from retail sales to residential customers measured in thousands of US dollars	4563.0
Retail.Residential.Sales	Float	Power delivered to residential customers measured in meagawatt hours	33000.0
Retail.Residential.Customers	Float	Number of residential customers

Abstract

This dataset, compiled by NREL using data from ABB, the Velocity Suite and the U.S. Energy Information Administration dataset 861, 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.

Hourly electricity‑consumption readings exported from multiple residences and anonymised for public use. Each row records one interval with:

meterid – surrogate key (customer × account × meter, anonymised)

start_time / end_time – UTC‑offset timestamp of the interval

consumption_kwh – energy used in kWh

provided_cost – utility‑reported cost for that interval (0 = not supplied)

Covers January 2021 – March 2025 for five residential households in the US Pacific Northwest. Ideal for time‑series analysis, load‑forecasting practice, tariff design experiments, and benchmarking energy‑efficiency models.

The EUAS application is a web based system which serves Energy Center of Expertise, under the Office of Facilitates Management and Service Programs. EUAS is used for tracking energy details for various energy sources namely electricity, natural gas, oil, chilled water, steam and renewable energy.

Energy Data Lake Cloud Platform Market Size and Growth Outlook

The global energy data lake cloud platform market size reached USD 3.5 billion in 2025, demonstrating robust expansion driven by the accelerating digitization of the energy sector and the surging need for advanced cloud-based data analytics. The market is anticipated to grow at a remarkable CAGR of 21.2% from 2026 to 2034, propelling the market to a forecasted value of USD 19.8 billion by 2034. This rapid growth is primarily fueled by the increasing adoption of cloud-native data management solutions by energy companies aiming to optimize operations, enhance grid reliability, and support the integration of renewable energy sources into increasingly complex grid architectures.

One of the primary growth factors for the energy data lake cloud platform market is the exponential rise in data generated across the energy value chain. With the proliferation of IoT sensors, smart meters, and grid automation technologies, energy companies are now handling vast volumes of structured and unstructured data that traditional management systems simply cannot accommodate at scale. This reality is driving a decisive shift toward cloud-based data lake platforms, which offer elastic storage and advanced analytics capabilities that allow organizations to extract actionable insights, improve asset performance, and minimize operational risks. The evolution of generative AI and machine learning tools integrated with cloud-native data lake architectures further empowers energy firms to predict equipment failures, optimize maintenance schedules, and enhance operational efficiency at unprecedented granularity.

Another significant driver is the growing emphasis on regulatory compliance and risk management within the energy industry. With stringent regulations governing emissions, operational safety, and data privacy, energy companies are compelled to adopt robust data management frameworks that provide traceability, real-time reporting, and audit-ready documentation. Energy data lake cloud platforms facilitate seamless data integration and support advanced risk analytics, enabling organizations to proactively identify potential threats and mitigate them effectively. The ability to consolidate disparate data sources into a unified, secure cloud environment enhances transparency and supports informed decision-making at every level of the organization. The broader energy and utilities cloud ecosystem is maturing rapidly, giving vendors and end-users an increasingly rich set of complementary tools to draw upon.

The market's growth is also being propelled by the accelerating transition toward renewable energy and decentralized energy systems. As utilities and independent power producers integrate more distributed energy resources (DERs) such as solar, wind, and battery storage, the complexity of grid management increases substantially. Energy data lake cloud platforms provide the necessary infrastructure to aggregate, process, and analyze data from diverse sources in real time, facilitating efficient grid balancing, demand response, and predictive maintenance. Platforms built specifically for smart grid data management are complementing broader data lake deployments by providing specialized real-time control and analytics at the grid edge. The global push toward sustainability and net-zero commitments is compelling energy companies to embrace digital transformation at scale, further amplifying the demand for advanced cloud-based data solutions through the 2026-2034 forecast horizon.

From a regional perspective, North America currently leads the energy data lake cloud platform market, accounting for approximately 37.5% of global revenues in 2025. The region's dominance is attributed to early adoption of advanced digital technologies, robust cloud infrastru

Investments in infrastructure have been on the development agenda of Latin American and Caribbean (LCR) countries as they move towards economic and social progress. Investing in infrastructure is investing in human welfare by providing access to and quality basic infrastructure services. Improving the performance of the electricity sector is one such major infrastructure initiative and the focus of this benchmarking data. A key initiative for both public and private owned distribution utilities has been to upgrade their efficiency as well as to increase the coverage and quality of service. In order to accomplish this goal, this initiative serves as a clearing house for information regarding the country and utility level performance of electricity distribution sector. This initiative allows countries and utilities to benchmark their performance in relation to other comparator utilities and countries. In doing so, this benchmarking data contributes to the improvement of the electricity sector by filling in knowledge gaps for the identification of the best performers (and practices) of the region. This benchmarking database consists of detailed information of 25 countries and 249 utilities in the region. The data collected for this benchmarking project is representative of 88 percent of the electrification in the region. Through in-house and field data collection, consultants compiled data based on accomplishments in output, coverage, input, labor productivity, operating performance, the quality of service, prices, and ownership. By serving as a mirror of good performance, the report allows for a comparative analysis and the ranking of utilities and countries according to the indicators used to measure performance. Although significant efforts have been made to ensure data comparability and consistency across time and utilities, the World Bank and the ESMAP do not guarantee the accuracy of the data included in this work. Acknowledgement: This benchmarking database was prepared by a core team consisting of Luis Alberto Andres (Co-Task Team Leader), Jose Luis Guasch (Co-Task Team Leader), Julio A. Gonzalez, Georgeta Dragoiu, and Natalie Giannelli. The team was benefited by data contributions from Jordan Z. Schwartz (Senior Infrastructure Specialist, LCSTR), Lucio Monari (Lead Energy Economist, LCSEG), Katharina B. Gassner (Senior Economist, FEU), and Martin Rossi (consultant). Funding was provided by the Energy Sector Management Assistance Program (ESMAP) and the World Bank. Comments and suggestion are welcome by contacting Luis Andres (landres@worldbank.org)

Energy And Utility Analytics Market size was valued at USD 3.07 Billion in 2023 and is projected to reach USD 10.41 Billion by 2031, growing at a CAGR of 16.5% from 2024 to 2031.

Global Energy And Utility Analytics Market Drivers:

Increasing Energy Demand and Consumption Patterns: With global energy consumption steadily rising due to population growth and industrial expansion, there is an increased demand for effective energy management. Energy and utility analytics assist utilities identify and predict usage patterns, allowing for more accurate demand forecasts. This leads to improved resource allocation, less energy waste, and more efficient production schedules. Advanced analytics make it easier to integrate renewable energy sources into the grid, resulting in a dependable and balanced energy supply that fulfills expanding demand while being environmentally friendly.

Integration of Renewable Energy Sources: Environmental concerns and regulatory regulations are driving the transition to renewable energy sources such as solar, wind, and hydropower. Integrating these variable energy sources into the regular system presents substantial hurdles. Energy analytics helps to handle these complications by projecting renewable energy generation, optimizing storage systems, and guaranteeing grid stability. By evaluating weather patterns and historical data, utilities can better estimate renewable energy output and integrate it into traditional power systems.

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale 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 and CCA administrators 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 ZIP Code level. Other UER datasets include energy use data reported at the city, town, village, and county level. 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 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.