Enverus eload Fused Energy Demand Forecasting
Enverus eload Fused Energy Demand Forecasting is powered by machine-learning technologies and multiple weather sources. System operators, dispatchers, retail providers, system planners, analysts and schedulers access real-time, proprietary power load forecasts.
Less Bias and Less Risk – Energy Demand Forecasting from Enverus.
Take a tour of Enverus’ proprietary energy demand forecasting solution.
Enverus Fused Energy Demand Forecasting gives analysts and energy futures traders access to interactive power load forecasts customized for your company’s daily operations. Easily view interactive forecasts online, download data to build trade positions, and streamline system load efficiencies. Forecast up to five years ahead to make informed business decisions for long-term planning and budgeting.
Forecast energy demand and peak load conditions up to five years
Build power demand model online from selectable future weather scenarios and power source capacities.
Use Fused Demand Forecasts to Balance Energy Operations Demand Side.
Our clients saved hundreds of thousands of dollars with Enverus Fused Demand Forecasts. Sign up for a proof of concept to see more of our technology.
Key Fused Energy Demand Forecasting Features
Probabilistic decline curve and discounted cash flow analysis. decline curve and discounted decline
Cutting edge deep-learning technology.
After 25 years of producing trusted machine-learning fused energy demand forecasts, we’ve got this down to an art. Now, we’re improving MAPEs with more granular data and stronger computer power with our deep-learning technology.
Use our energy forecasts to inform your plan of attack — or poke holes in our views with your own market analysis. We encourage you to challenge us!
Energy demand forecasting – fused power and renewables load projections.
Get powerful analytics and fused energy demand forecasts delivered straight into your inbox. Track day-over-day load and wind generation changes and hourly price forecasts showing on-peak and off-peak prices.
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