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Historian software developed by Vaisala is designed to collect, store, and manage data from environmental monitoring systems and industrial processes. The software enables long-term archiving and efficient retrieval of measurement data, supporting analysis and reporting for regulatory compliance and operational optimization. It integrates with data loggers and monitoring equipment to centralize information, allowing users to ensure data integrity and traceability. Historian supports the identification and resolution of deviations by providing traceable audit trails and automated alerts for critical parameters. The software addresses challenges in maintaining accurate historical records, reducing manual data handling, and supporting quality assurance in controlled environments such as laboratories, pharmaceutical manufacturing, and industrial facilities.
4RES is a software designed for forecasting and optimizing production in energy generation facilities, including wind, solar, and other renewable sources. The software integrates meteorological data and asset-specific information to provide short-term and long-term production forecasts. It supports energy traders, producers, and grid operators by enabling accurate scheduling, balancing, and operational planning. 4RES addresses the business need for precise energy output predictions, helping to minimize imbalance costs, improve decision-making for market participation, and ensure compliance with regulatory requirements related to energy forecasts.
AccuWeather is a weather forecasting software that delivers current conditions, hourly and extended forecasts, and severe weather alerts for locations worldwide. The software provides features such as radar imagery, precipitation maps, and customizable notifications to help users stay informed about changing weather patterns. AccuWeather aggregates meteorological data to offer localized forecasts, enabling individuals and businesses to plan activities and mitigate weather-related risks. The software also includes tracking for weather events and offers insights for temperature, wind, and humidity. Its tools aim to assist users in making decisions based on comprehensive and up-to-date weather information.
AWIS Weather Services is a software that provides weather data and forecasting solutions tailored for specific industries and operational needs. The software offers meteorological analytics, real-time and historical weather information, and customized forecasts to support decision-making in sectors such as agriculture, energy, and transportation. It aggregates and interprets data from various meteorological sources, aiming to address business challenges related to weather risk management and operational planning. AWIS Weather Services enables users to access detailed weather reports and alerts that can be integrated into workflow systems, assisting organizations in minimizing disruptions and optimizing resources based on current and predicted weather conditions.
BID3 is a software developed for electricity market modeling and simulation. The software enables users to analyze and forecast power market outcomes, including prices, generation, and dispatch, under different market structures and regulatory scenarios. It provides features such as unit commitment, economic dispatch, and representation of various power generation assets and market rules. The software is designed to support market participants, system operators, and regulators in long-term and short-term planning by simulating the interaction of supply and demand in wholesale electricity markets. BID3 facilitates the assessment of market design, investment decisions, and operational strategies by offering detailed modeling of market behavior and system constraints.
Energy demand forecasting software from AleaSoft utilizes statistical models and artificial intelligence techniques to predict future energy consumption patterns. The software processes historical data and considers variables such as weather, calendar effects, and economic activities to generate demand forecasts. These forecasts support energy producers, suppliers, and grid operators in optimizing production schedules, managing resources efficiently, and planning for energy trading. By delivering insights into expected energy usage, the software enables organizations to address challenges related to supply management and operational planning within the energy sector.
Energy Event Index is a software developed to provide insights into energy market events by tracking and analyzing significant disruptions, weather occurrences, and operational changes that affect supply and demand dynamics. The software aggregates and organizes event-related data to help users assess the business impact of such events on energy pricing, market trends, and risk management strategies. By offering timely and structured information on market events, the software assists stakeholders in refining their trading decisions, optimizing resource allocation, and managing operational risks associated with energy market fluctuations.
Energy price forecasting software from AleaSoft is designed to provide forecasting solutions for energy markets. The software applies statistical models and data analysis techniques to predict future prices of electricity and other energy commodities. It processes historical data, market fundamentals, and other relevant factors to generate forecasts that help energy market participants with planning, trading strategies, and risk management. By delivering short, medium, and long-term projections, the software supports utilities, power generators, and market analysts in making informed decisions regarding energy production, consumption, and procurement. The software aims to address the need for accurate price forecasting to manage market volatility and support strategic operations.
Gorilla is a software designed to help businesses manage and streamline energy trading and data processes. The software offers capabilities for automation, data validation, and integration with multiple data sources, supporting tasks such as forecasting, reporting, and compliance in energy markets. Gorilla enables organizations to efficiently collect, process, and analyze large volumes of energy data, assisting with tasks like pricing, billing, and portfolio management. The software addresses challenges related to manual data handling and complex market requirements, aiming to improve operational efficiency and accuracy in decision making for companies operating in the utilities and energy sectors.
IBM Environmental Intelligence Suite is a software that integrates weather, climate, and geospatial data to help organizations manage environmental risks and optimize operations. The software offers features such as real-time monitoring, predictive analytics, and advanced alerting capabilities to identify potential disruptions related to weather events and climate trends. By aggregating diverse sources of data, it supports planning and response activities for sectors such as supply chain, asset management, and energy. The software is designed to assist businesses in understanding and mitigating the impact of environmental factors on their operations, enabling data-driven decision-making and risk management.
MetraWeather is a software that provides weather information and forecasting solutions designed for sectors such as aviation, transport, and energy. The software utilizes meteorological data and advanced modeling to deliver accurate forecasts, analytical tools, and real-time visualizations. MetraWeather supports decision-making by helping organizations anticipate weather conditions, plan operations, and manage risks associated with shifting weather patterns. Users can access tailored weather reports, alerts, and scenario planning features, facilitating enhanced operational efficiency and safety through improved preparedness for weather events.
PLEXOS is a software developed by Energy Exemplar that provides advanced modeling and analytics for energy market analysis, planning, and forecasting. The software supports simulation of electricity, gas, and water systems, enabling users to optimize generation, transmission, and consumption. It offers features such as scenario analysis, unit commitment, economic dispatch, and long-term capacity expansion planning. PLEXOS facilitates evaluation of operational strategies and investment decisions by integrating detailed temporal and spatial data. The software addresses business needs related to resource planning, market analysis, and risk assessment by delivering data-driven insights applicable to regulatory, commercial, and operational environments.
FreightWaves SONAR, offers billions of data points on the global logistics industry, updated daily. The platform is used throughout the industry, by capacity providers and organizations that contract with capacity providers, to make more informed and efficient decisions about how to route, manage and forecast their supply chains.
Using the FreightWaves SONAR platform, users can monitor all of elements that impact the freight market – trucking spot and contract rates, fuel, demand, capacity, volumes, seasonality, weather, risk-management, equipment values and much more!
FreightWaves SONAR delivers trusted data and analysis across the global freight market – in real time. SONAR allows brokers/3PLs, carriers, shippers, financial institutions, rail/intermodal, air cargo, maritime and final mile participants to benchmark, analyze, monitor and forecast the global supply chain (or any subset that comprises their market).
Storm Impact Analytics is a software designed to provide predictive insights into the potential effects of severe weather events on infrastructure and operations. It utilizes meteorological data and proprietary algorithms to forecast the likelihood and severity of disruptions caused by storms such as outages, equipment damage, and operational delays. The software enables organizations to make informed decisions by translating complex weather forecasts into actionable impact assessments, supporting planning and risk mitigation efforts. Storm Impact Analytics addresses business challenges such as resource allocation, outage restoration prioritization, and operational continuity during adverse weather conditions.
Tomorrow.io is a weather intelligence software designed to provide real-time, hyperlocal weather forecasting and insights. The software offers data and analytics that support planning and operational decisions for businesses and organizations affected by weather conditions. It combines proprietary weather models with geospatial data to deliver forecasts, alerts, and impact analysis tailored to specific locations and industries. Tomorrow.io enables users to identify weather-related risks, automate alerts, and optimize resource management for industries such as aviation, logistics, and utilities. The software addresses the business need to anticipate and respond effectively to changing weather conditions, thereby improving operational efficiency and reducing weather-related disruption.
UBIMET Weather Energy Data and Energy Forecasts software provides meteorological data and predictive analytics tailored for the energy sector. The software delivers weather-based insights and forecasts designed to support energy planning, grid management, and optimization of renewable resources such as wind and solar. It enables utilities and energy companies to anticipate fluctuations in supply and demand associated with weather variability, facilitating better operational decisions and risk mitigation. Features include real-time data acquisition, customizable forecasts, and integration capabilities with existing energy management systems. The software addresses the business need for reliable weather information to improve energy production forecasting, enhance scheduling efficiency, and support trading activities.
Weather API is a software developed by AerisWeather that provides access to global weather data through a set of programmable interfaces. The software enables integration of real-time and historical weather conditions, forecasts, severe weather alerts, and imagery into applications and services. It is designed to support various business needs such as risk assessment, logistics planning, and operations management by offering structured data on weather patterns, environmental indices, and mapping capabilities. Weather API assists organizations in enhancing decision-making and workflow efficiency by delivering consistent and configurable weather information in a format suitable for software development and integration.
Weather Monitoring System is a software developed to collect, process, and display meteorological data from multiple environmental sensors. The software aggregates information such as temperature, humidity, wind speed, wind direction, rainfall, and atmospheric pressure, offering comprehensive real-time insights into local weather conditions. Through automated data acquisition and visualization tools, the software enables users to track weather patterns and generate historical reports for analysis. It supports decision-making processes in sectors that rely on accurate weather information by facilitating early warnings and trend identification and addressing the need for timely and reliable atmospheric data monitoring.
Weatherbit API is a software that provides meteorological data through a suite of programming interfaces designed for integration into business and analytical applications. The software offers access to current weather conditions, historical weather information, and forecasts for various locations worldwide. By leveraging automated data feeds, Weatherbit API supports industries such as agriculture, transportation, and energy in their efforts to monitor climate trends and weather patterns. Its features include customizable data parameters, geolocation-based queries, and scalable output formats that facilitate informed decision-making and operational planning based on weather insights. No direct marketing statements are presented, ensuring objective delivery of weather data for technical and business use cases.
WeatherSentry Energy Edition is software designed to provide energy sector businesses with weather intelligence solutions for operational decision-making. The software delivers forecasts, alerts, and monitoring tools tailored to energy operations, supporting activities such as power generation, grid management, and resource planning. It integrates meteorological data to help users assess weather-related risks, optimize maintenance schedules, and improve outage response processes. The software aims to support business continuity by enabling the anticipation and mitigation of weather impacts on energy infrastructure and operations. WeatherSentry Energy Edition assists organizations in managing weather-related uncertainties to promote reliability and safety in energy production and distribution.
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Features of Weather Data Solutions for Energy and Utilities
Updated December 2024
Mandatory Features:
Data management: Monitor, store, synchronize and optimize observation and historical weather inputs from various sources in real time. This includes local, open and internal proprietary data from surface, upper air, radar and satellite sources. Examples of data sources include citizen data reported through customer portals, weather photos and videos shared on media sites, satellites, sensors (such as barometers, rain gauges, wind vanes, anemometers, transmissometers and hygrometers), image and remote sensing, balloons and radar.
Forecasting and analytics: Create forecasts to enable users to predict load, demand and energy prices, plan generation resources and understand the impact of weather on capital planning and business performance. Analyze weather data from various sources, including historical data, to provide enterprise wide decision support. This includes weather events, seasons, cycles, patterns and other relevant factors.
Collect: Gather weather data by integrating with key business and operational systems using flexible APIs. This allows access to data from adjacent tools to provide context and actionable insights. Examples of systems to collect from include advanced distribution management systems (ADMS), energy trading and risk management (ETRM), meter data management (MDM), outage management systems (OMS), asset performance management (APM), GIS, enterprise asset management and digital twins.
Essential weather information: Include key weather information such as precipitation and snowfall estimations, wind forecasts (including wind speed max and wind gust), and weather station observations. Incorporate data related to fire and earthquake risks, including wildfires, fire weather outlook, satellite thermal hot spots, fire activity, smoke plumes, fire weather risks and earthquakes that occurred very recently.
Continuous decision and business intelligence: Use real-time and historical weather data for analysis and analytics, enabling proactive decision making and operational support. Weather data plays a crucial role in decision intelligence, supporting use cases such as intelligent operations and understanding market-driven price points in transactive energy and flexibility markets.
Access to external feeds: Provide access to meteorologist inputs, live weather modeling and daily global weather briefings, such as hurricane updates and threat levels. Allow customization of weather alerts based on threat levels.
Dashboards, alerts and visualization: Offer multiple portals or views for users to access weather information in a consolidated manner. This includes humidity, pressure, temperature, wind speed, solar irradiance and other relevant data for assets, operations and workforce. The system should provide alerts based on preset business rules and allow for customization to meet specific operational needs. Visualizations should provide situational awareness, monitoring and decision-making support. Multiple views, such as land contours, satellite imagery, radar and lightning alerts should be available to enhance the understanding of weather conditions.
What are Weather Data Solutions for Energy and Utilities?
Gartner defines weather data solutions (WDS) as systems that collect, integrate and orchestrate weather data from multiple sources for energy and utility companies. It improves business and operational decisions in areas like energy and asset management, retail operations and risk management. WDS provides accurate weather forecasts and actionable insights across operational areas, aiding proactive planning, efficiency and cost reduction. These cloud-based or SaaS solutions, or API-based services, serve as a centralized system of record, enabling organizations to optimize operations and manage physical assets. WDS facilitates easy access and integration with systems by enhancing efficiency and decision making across operational areas.
This service may contain translations provided by Google. Google disclaims all warranties related to the translations, express or implied, including any warranties of accuracy, reliability, and any implied warranties of merchantability, fitness for a particular purpose and noninfringement. Gartner's use of this provider is for operational purposes and does not constitute an endorsement of its products or services.
