Weather Data Solutions for Energy and Utilities Reviews and Ratings

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.