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REDUCE UNCERTAINTY, OPTIMIZE ENERGY

Utilities face unprecedented risks and opportunities tied to accurate weather forecasting. Every aspect of utility operations, from power generation to distribution, hinges on weather conditions. With the increasing frequency of severe weather events, standard weather providers fall short in providing the necessary insights.

Extreme weather not only drives up energy demands but also presents challenges in production and distribution. As summers grow hotter and winters harsher, utilities must meet rising energy needs amidst unpredictable conditions.

From hub-height winds to solar irradiance, our forecasts offer reliability and precision, enabling informed decision-making across all time scales. Trust Climavision to transform your utility operations with cutting-edge weather intelligence.

SOLUTION: HORIZON AI GLOBAL FORECASTING

PREDICT DEMAND FLUCTUATIONS

Our Horizon AI Global weather model generates highly accurate, high-resolution forecasts to mitigate risks to utility operations around the world. We combine the latest in AI technology to assimilate billions of novel observational datapoints into our advanced NWP model, to more accurately forecast atmospheric threats to production and distribution with precision and speed.

Benefits of HORIZON AI GLOBAL

  • Long-range weather patterns analysis to predict energy demand fluctuations.
  • Integration of global weather insights for strategic utility operations.
  • Comparative analysis with major models to plan energy production and distribution.

Learn more about Horizon AI Global

SOLUTION: HORIZON AI S2S FORECASTING

ANTICIPATE DEMAND SPIKES IN ADVANCE

Our Horizon AI Subseasonal to Seasonal weather models offer granular accuracy you can rely on to determine resource allocation impacted by seasonal trends. Powered by our innovative AI approach and trained on vast amounts of historical data, our subseasonal to seasonal models boast superior accuracy and is updated daily. This means you get real-time insights into evolving weather conditions that impact demand, giving you the competitive edge you need.

Benefits of HORIZON AI S2S

  • Long-term forecasting for strategic planning and risk management in utilities.
  • Seasonal weather trends to guide energy production and resource allocation.
  • Sub-seasonal shifts analysis to anticipate demand spikes and optimize resource distribution.

Learn more about HORIZON AI S2S

SOLUTION: HORIZON AI POINT FORECASTING

IMPROVE LOAD FORECASTING

Our Horizon AI Point forecasting model is the most technologically advanced site-specific weather forecasting system for energy utility operations. Other ensemble systems only rely on government models. Powered by proprietary data inputs and AI bias correction, the Horizon AI Point model creates highly accurate weather forecasts around the globe for improved load forecasting.

Benefits of HORIZON AI POINT

  • Optimized point forecasts for critical utility infrastructure and outage modeling.
  • Real-time weather data integration for immediate operational adjustments.
  • Enhanced forecast precision for better load forecasting in power grids.

Learn More About HORIZON AI POINT

SOLUTION: HORIZON AI HIRES FORECASTING

ANTICIPATE AND MITIGATE RISK

Our Horizon AI HIRES weather model produces hyper-local and asset-level predictions for highly customized insights specifically tailored to optimize energy production and your bottom line. We leverage the latest in AI techniques to maintain quality control and increase computational power, so you don’t have to choose between accuracy and speed when managing critical grid operations.

Benefits of HORIZON AI HIRES

  • Detailed local weather forecasts to manage grid operations efficiently.
  • High-resolution data to anticipate and mitigate outage risks.
  • Weather impact analysis for renewable energy sources like solar and wind.

Learn More About Horizon AI HIRES

CLIMAVISION CASE STUDY

CLIMAVISION MODELS ACCURATELY CALL FOR TRIPLE DIGIT ERCOT HEAT FOR THE SECOND YEAR IN A ROW

Weather dependent renewable energy resources like solar and wind energy play a significant role in keeping the market participants comfortably online and AC units pumping out cool air. Click below to read how ERCOT hit record power demand as temperatures soared into the triple digits for much of the Lonestar state in June of 2023 and how Climavision’s Horizon AI Global and/or Point forecasting solutions are imperative to running an efficient operation that meet customers’ growing energy demands. to their forecasting tools.

Read the Case Study

DON’T BE LEFT IN THE DARK

Traditional forecasts may leave utilities in the dark when it comes to planning for severe weather events. That’s where Climavision steps in. Our proprietary AI technology combined with novel, high-resolution observations, offers unparalleled accuracy in forecasting. We specialize in unraveling the complexities of extreme weather variabilities, empowering utilities to make confident decisions even in the face of uncertainty.

PRECISION INSIGHTS FOR RENEWABLE ENERGY

For utilities venturing into sustainable energy solutions, the stakes are higher. Severe and unpredictable weather poses risks to asset planning, maintenance, and equipment efficiency. Climavision provides tailored solutions for selecting optimal locations for renewable energy projects, whether wind farms, solar installations, or hydropower generation.

 

 

WE’RE REVOLUTIONIZING THE WEATHER INDUSTRY

Our extensive weather data and revolutionary, AI-driven climate technologies identify real-time dangers and produce more accurate predictions and forecasting models.

Learn More About What Makes Us Different

 

Radar Network

First of its kind, supplemental nationwide, high-resolution, dual polarity radar network

Advanced Modeling

Advanced global numeric weather prediction modelling with unprecedented computational capabilities

Observational Datasets

More unique and novel observational datasets assimilated via AI for faster, more accurate forecasts

Technical Expertise

Unparalleled technical expertise across infrastructure, machine learning, cloud and supercomputing

From 1980-2000, about 75% of all disaster-related costs were due to billion-dollar disasters. By 2021, it had risen to about 85% of all disaster-related costs, or $2.15 trillion out of $2.5 trillion. 

NCS Injury Facts

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