Blog

A list of states that each utility operates in, including capacity owned in state, capacity operated in state, and energy sales in state. Number of interruptions and minutes of outage for customers https://uofa.ru/en/magistralnyi-nasos-nm-10000-210-osnovnye-nasosy-nps-trehsekcionnyi-nasos-tipa/ of each utility by state and outage conditions (under major events or normal conditions). Capacity, generation, capacity factor, fuel consumption, and emissions of CO2, NOx, and SOx for each generator owned by each utility, and for power purchased by each utility. Rate base, equity, debt, returns, earnings, interest expense, tax expense, and the rates of return used for earnings and revenue calculations. Number of customers, MWh electricity sales, and revenues by customer type. Right now, Hong said, many utilities do not have sufficiently accurate load profiles.

Developing dashboards specifically tailored to address the unique challenges of https://www.fileoasis.com/45536/screenshot-neotrek-file-data-pro.html the utilities landscape helps answer critical questions with precision. While spreadsheets will always have their place for quick, one-off tasks, dashboards offer utilities a far more powerful way to manage and interpret data. As spreadsheet-based reporting grows more complex, it often demands increased time and effort, especially when repetitive processes and multifaceted analyses are involved.

Improved planning also helps put utilities in a position to proactively seek opportunities when negotiating with hyperscalers because access to power is a scarce resource, and because speed to market is currently prioritized above all else. Ascend Analytics provides an integrated modeling environment that combines correlated load and renewables, detailed power market simulations, and resource portfolio optimization to support utility resource planning. Utilities preparing for data center–driven market changes increasingly rely on advanced planning tools that connect forecasted load growth with long-term system decisions. Inaccurate load growth assumptions will affect all aspects of utility planning processes, including resource adequacy, transmission, and, above all, rate impacts.

Data Analysis

Data analytics for utilities and energy providers helps companies in these spheres improve operations and prevent outages. Data analytics for utilities can also look like gathering and analyzing user consumption data to gain better insight into customer behavior. Capitalizing upon the vast array of data that is collected through IoT technology such as sensors and meters can help utility providers optimize their performance to continue delivering exceptional results. Data analytics for utilities is a three-part process that involves collecting data, analyzing the data and then taking informed action. Data analytics for utilities is just one of the exciting power & utilities topics waiting for you at OPTIMIZE 26. Utility providers can also harness data to gain insight into consumer behavior to improve customer service and gain accurate insights into customer demands.

Create accurate meter-level forecasts

This data is correlated with both a GIS (Geographical Information System) and a rules-based map of the network itself. In many implementations, data on the utility network is reported via both customer call and device-level sensors. They are also helping provide more accurate, timely, and information-rich customer communication than ever before. To meet this challenge, utility companies are increasingly turning to utility analytics. This crucial task means responding in the wake of major storms, pinpointing equipment failures, carefully connecting customer-reported outages with the relevant part of the network, and much more. Utilities face the challenge of managing complex infrastructure and are charged with providing customers with the most reliable service possible.

• Gain insight into managing growing IBR penetration, RTO/ISO market reform, and modernizing your operational tools and workforce training.
• Data analytics for utilities and energy providers helps companies in these spheres improve operations and prevent outages.
• The traditional OT model distributed OT responsibilities across operating areas, embedding these responsibilities…
• The regulatory model is shifting to accommodate new assets and ways of operating the electric and gas systems.
• ScottMadden was retained to assist with developing the operating strategy for the new control…
• WHUD has used the power of combining and analyzing disparate data sets from numerous systems to drill down into non-revenue water.

This webinar recording reviews bid-based wholesale power markets, the future of utility-scale solar, and grid investment. ScottMadden’s energy experts share their views and field questions related to wholesale electricity markets, 100% clean energy, and hydrogen. We have worked alongside our clients to transform the training content to embed procedural guidance, operating experience alongside first person view videos. Now, 15 states have put their focus on accelerating the market for electric medium-… Utilities need an organized, dynamic system for conducting NERC compliance activities to ensure that they meet evolving requirements.

Common Problems To Solve

Utility inspections have traditionally been time-intensive, requiring field crews to manually assess infrastructure conditions. These traditional methods often led to inefficiencies, missed maintenance opportunities, and increased operational costs. By capitalizing on powerful data-driven insights, utility providers can work more strategically and intelligently to enhance results and drive revenue. Data analytics for utilities can help utility companies recover from outages as quickly as possible to improve efficiency and prevent revenue loss. Meter-level forecasting can also support safe restoration from grid outages by providing utilities with accurate predictions of gross load that uncover demand hidden by distributed generation.

Can Data Centers Support Decarbonization Goals?

• Modern utilities must process massive amounts of data from smart meters, SCADA systems, and IoT devices to optimize grid performance.
• Having helped our utility clients meet their most difficult challenges for more than 40 years, we have both the experience and the expertise to help you succeed in this shifting landscape.
• While spreadsheets will always have their place for quick, one-off tasks, dashboards offer utilities a far more powerful way to manage and interpret data.
• The examples of Duke Energy, Enel, and E.ON demonstrate the benefits of data warehousing and data analytics in the energy and utilities sector.

ScottMadden was retained to assist with developing the operating strategy for the new control… This report explores how the progress created by solar and wind carbon-free generation is “at risk” of being reversed due to early retirement of currently operating nuclear… With its ability to analyze vast amounts of data, make predictions, and automate complex tasks, AI holds immense potential for enhancing efficiency, reliability, and profitability. This expanding market offers utilities the potential for greater… VPPs may include a broad range of technologies, including traditional DR, rooftop solar PV, distributed battery storage, electric vehicles, smart thermostats, and smart water heaters. In this three-part series, we look at how integrated system planning (ISP) helps utilities manage conflicts better than traditional planning processes used by the majority of utilities…

The activities of a geographically dispersed operation can be brought together in a map-based view, providing decision-makers with all the key facts in one place, avoiding confusion, and saving time. For full GIS capability (network tracing, spatial analysis, map rendering), Esri ArcGIS remains the right tool. Most utilities run both, Esri ArcGIS for spatial and network analysis, and a separate operational database for time-series data. TimescaleDB’s continuous aggregates (materialized SQL views that update automatically as new data arrives) handle pre-aggregated dashboards without manual ETL.

The benefits of dashboards

Utilities rely on data from numerous software systems to make informed decisions about everything from outage mitigation to planning for renewable integration and future system capacity needs. By adopting cloud-native technologies that can store and analyze massive amounts of data at extremely low costs, utilities can put their data to better use – gaining real-time and day-ahead visibility and forming the foundation for robust, long-term system planning. Traditional processes are not optimized for integrated, efficient management of massive amounts of data across the utility. Better use of data can directly translate to enhanced grid visibility and better-informed active management, providing opportunities to cost-effectively improve grid reliability, sustainability, and operational efficiency.