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.

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.

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 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.

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

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 by utilities at the county level. Other UER datasets include energy use data reported at the city, town, and village, 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.

The Utility and Energy Analytics Market Report is Segmented by Deployment (Cloud, Hybrid, and More), Component (Software, Services, and More), Application (Meter Operations and Data Management, Load and Generation Forecasting, and More), End-User (Generation Utilities, Transmission and Distribution Operators, and More), Utility Type (Electric, Gas, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

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.

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.

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

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.

Dataset

This dataset was created by Julius Kazibwe

Contents

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.

According to Cognitive Market Research, the worldwide Energy and Utilities Analytics market size is USD 3.6 billion in 2024 and will expand at a compounded annual growth rate or CAGR of 16.78% from 2024 to 2031. Market Dynamics of Energy and Utilities Analytics Market

Key Drivers for Energy and Utilities Analytics Market

Increase in the use of analytics - An experienced data analyst may draw inferences from unstructured information, summarise results, and use visual aids to convey the entire narrative in an easy-to-understand manner. It is ensured that any business information is handled safely and that all procedures are in full compliance with applicable laws when a dedicated analyst is on board. The global market for energy & utility analytics is anticipated to be driven by this.
When some devices stay connected for ten years or more, the IoT connection landscape only slowly shifts. On the other hand, new Internet of Things technologies do affect the terrain over time. This would offer the worldwide energy and utility analytics industry greater opportunities.

Key Restraints for Energy and Utilities Analytics Market

The entire tech sector suffers from a skills gap. Still, operations roles are particularly badly affected because of how quickly things are changing and how much regular workforce expansion and upskilling is required. This is anticipated to limit market expansion.
The use of analytics solutions by energy and utility firms is facilitated by the requirement for precise and effective forecasting of power generation and consumption of energy.
Data Privacy and Security Issues hamper the market growth

Data privacy and security issues heavily impede the market for energy and utility analytics. These businesses collect large volumes of data to be analyzed, and the risk of data breaches and abuse is very high. The threat of breached sensitive data may discourage companies from embracing highly advanced analytics software. To counter these threats, energy and utility organizations must heavily invest in powerful security solutions that may be pricey and complicated. The cost of undertaking these protective steps, along with the continuing difficulties of staying in compliance with changing rules, can retard market growth and limit innovation in analytics technology. This market report encompasses news of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, effects of domestic and localized market players, examines opportunities in terms of emerging revenue pockets, market regulation changes, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological advancements in the market. To get more information about the market reach Data Bridge Market Research for an Analyst Brief, our experts will assist you in making an informed market decision to gain market growth.

Opportunities for Energy and Utilities Analytics

Growth of AI and Machine Learning Integration is boosting the market growth

One particular trend driving growth in the energy and utility analytics market is the convergence of artificial intelligence (AI) and machine learning (ML) technologies. These sophisticated analytical tools allow utilities to analyze huge volumes of data from smart meters and IoT devices, resulting in improved operational efficiency and predictive maintenance. For example, in August 2022, mCloud Technologies Corp., a pioneer in AI-driven asset management and ESG solutions, revealed a technology continuation partnership with Agnity Global Inc. This partnership will be concentrated on extending their successful collaboration, with emphasis on the enhanced delivery of innovative asset management solutions. By taking advantage of AI and sophisticated analytics, mCloud and Agnity will jointly build next-generation technologies that power operational excellence and enable sustainable behavior within the sector. Introduction of the Energy and Utilities Analytics Market

The term "energy and utility analytics" refers to data solutions that have a direct impact on corporate performance through cost reduction, risk detection, service improvement, and effective customer engagement. Energy and utility firms use these technologies to forecast demand, manage expenses, and make more strategic...

NextEra Energy, headquartered in Florida, United States, was the largest electric utility company worldwide in June 2025, with a market value of ****** billion U.S. dollars. Ranking second, Spain's Iberdrola had a market value of ****** billion U.S. dollars. Global marketUtilities sell electricity through a regulated market by operating generation, transmission, and distribution facilities. In most countries, utilities provide electricity and are essential for many industrial and commercial enterprises, as well as households and other facilities such as recreational facilities. As the integration of renewable energy sources and investments in smart grid technologies are projected to raise a challenge, the basic utility’s business model is expected to undergo a major change. NextEra Energy Three of the top 10 utilities are based in the United States. NextEra Energy has been on the growth since the end of the COVID-19 crisis. Almost half of the electricity generated by this company came from natural gas.

The Utility & Energy Analytics market is booming, with a projected CAGR of 24.90% through 2033. Learn about key drivers, trends, and restraints shaping this rapidly expanding sector, including insights into cloud solutions, software, and applications like demand response and load forecasting. Explore market size projections and regional breakdowns. Recent developments include: August 2022 - mCloud Technologies Corp., a leading provider of AI-powered asset management and Environmental, Social, and Governance ("ESG") solutions, announced that it has entered into a technology continuation agreement with Agnity Global Inc., enabling mCloud to build on the success of its existing relationship with Agnity., May 2022 - Siemens introduced its time-tested transmission grid simulation software, PSS-E, to the cloud. It leverages the same software and user interface, with over 2,000 APIs and the use of existing scripts. It provides scalable computation power, flexible remote working, a secure collaboration environment, etc. This is currently available in the United States and Canada, with a future global rollout planned.. Key drivers for this market are: Rising Demand for Energy and Increasing Emphasis on a Greener Environment, Growing Consumer Focus on Energy Consumption Pattern Analysis. Potential restraints include: Slightly High Cost of Implementation of the Software. Notable trends are: The cloud-based deployment model is expected to grow at a rapid pace..

The Energy & Utilities Cloud market is booming, projected to reach $45.9 billion by 2033 with a 15% CAGR. Learn about key drivers, trends, restraints, and leading companies shaping this dynamic sector. Discover market size, growth projections, and regional analysis in this comprehensive report.

Energy and utilities data from the Alaska Energy Authority, Alaska Energy Data Gateway. Includes: - Hydroelectric - Hydrokinetic - Wind Power - Thermal Areas - Hot Springs - Sawmills - Energy Regions - Electric Utility Lines - TAPS Pipeline - Volanoes and Vents - Solar PowerSource: Alaska Energy AuthorityThis data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Energy Data Gateway

Data about power company service areas and their announcements about outages are critical for the effective coordination of resources after disasters, and also for building community and neighborhood resilience. As part of the 2015 White House Mapathon, the Department of Energy's Office of Electricity created a national geospatial database of power company service areas with pointers to public outage information (eg, through Twitter, web sites, and toll-free telephone numbers).

Mapathon participants researched public outage information state by state, and populated a lookup table so that disaster-impacted residents, tourists, first responders and relief volunteers can easily get to the information they need on scope and estimated restore times for power outages. This project benefited from participation of private and public sector folks who need this data for their work, and of third party app developers such as Red Cross and The Weather Channel who will incorporate this data into the information services they offer their users.

The Energy Information Administration (EIA) U.S. Energy Mapping System provides the locations and capacity of operable electric generating plants which includes all plants that are operating, on standby, or short- or long-term out of service with a combined nameplate capacity of 1 MW or more. Generator-level data is collected as part of the EIA-860 Annual Electric Generator Report. Geographic coordinates are assigned to the plant locations in the source data.

Thematic indicators of electricity generation capacity were determined based on a spatial join performed by PolicyMap of geocoded plant locations and standard Census geographic boundaries. Generator-level megawatt output capacity was aggregated for county and state boundaries. References in the data to “renewable” energy sources refers to energy from biomass, hydropower, geothermal, wind, and solar. This is consistent with how the EIA classifies renewable energy sources as outlined on their renewable sources webpage.

According to the American Customer Satisfaction Index® (ACSI®), customers were highly satisfied with************************************ from energy utilities, as reflected in customer experience ratings. Mobile apps were also rated highly for their ***********************.