Offering localized atmospheric and solar radiation output in order to model & manage energy use for energy sector

Energy providers, engineers, universities and labs use Weather Analytics’ localized atmospheric and solar radiation output in order to model and manage energy use and consumption within buildings and profile new renewable-energy sites. Weather Analytics provides solution-ready, statistically stable climate data, including hard-to-find variables. We provide global geographic coverage and easy access to comprehensive climate intelligence, including on demand Typical Meteorological Year (TMY) and Actual Meteorological Year (AMY) climate files for simulation and modeling.

We provide more comprehensive solar radiation weather intelligence than any other provider, including global horizontal, direct normal, diffuse horizontal, extra-terrestrial and extra-terrestrial direct normal. This solar radiation data can help you better manage power grids, create a viable forecasting service, and mitigate risk and performance reconciliation.

We answer questions to help you determine how weather will impact energy production, operational costs and profitability, such as:

  • How can I make my buildings more energy efficient?
  • How can I manage peek demands of power?
  • Which of my assets are at risk due to wind, precipitation, etc.?
  • How do I predict future weather conditions that impact my operations?

We save energy modeling and management and utility companies time on data supply, and increase accuracy that can save on energy costs. By grounding a forecast to a specific point, leveraging localized direct observations and maximizing forecast frequency, our proprietary algorithms can produce the highest quality forecast data possible, particularly in the first 12 hours where most management and control systems require very high precision.