Reduce Operating costs, Lower spinning reserves, reduce maintenance costs, increase energy efficiency, fuel savings. Enhance Capacity Planning, Know your distributed energy supply and demand at any given second. Decrease CO2 Emissions, Reduce reliance on fossil fuels.
Forecast energy demand and supply using AI that takes advantage of multi-variable models that consider cloud density at different elevations, humidity, temperature, wind, load demand, and device operational parameters.
Optimizer uses multiple energy forecast models to dynamically set the right price for energy, generating long-, medium, and short-term price and load forecasts based on historical and real-time data.
The changing nature of the grid requires a forecasting platform capable of ingesting massive data sets to provide insights down to the circuit level. SAS Energy Forecasting has been proven to provide granular insights based on these massive data sets. Through repeatable, scalable, traceable and defensible results, the solution improves forecasting performance across all locations, at any level of aggregation. Forecasts are transparent and documented for sharing with internal partners and third-party stakeholders, enabling you to avoid millions of dollars in regulatory fines.
With statistical and visual indication of the likely range of forecast outcomes, you can incorporate quantifiable variability and confidence limits in the forecast when making operational and financial decisions. Combined economic and weather range scenarios let you evaluate more scenarios faster and with fewer resources. With various scenarios in hand, forecasters can create multiple medium-term and long-term models based on anticipated outcomes, and adjust the models with ease. Automatic re-forecasting based on data updates enables your teams to make decisions that mitigate risks, surface new business opportunities and ultimately create a competitive advantage.
Designed for a broad range of users, the solution offers automatic, configurable and manual modes so you can produce forecasts and modify models interactively. Automated forecasting means less manual input and makes large forecasting processes more manageable. You can get hourly forecasting for all time horizons in a single, comprehensive solution that lets you use existing planning resources and helps everyone work more effectively. By using a common forecasting methodology and data integration processes across forecasting horizons, you can eliminate the need to train forecasters on multiple software tools.