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Energy Analytics for Decisionmakers
Load Forecasting Visualization
Our toolsets and analytics import and parse system loading data to show load change visuals that drive a better understanding of trends. Compare:
YOY changes
Customer Solar Impacts
Correlate with Ambient Temperature & Humidity
Same day of week averages for each month, YOY
The ASCE software platform rapidly and easily integrates system load data with proprietary data models and reporting to provide visuals on system load data. Using our algorithms we generate future data sets called Scenario Factor Cases, where you drive the inputs to create a model that includes the impact of additions to and subtractions from system load.
Predictive MWh
Use the past to tell you the future. Compare impacts of temperature on the trendline, show indexed retails sales and empower staff with a guideline for the direction to expect from sales and loading.
Future Projections of MWh
Based on Load Change Drivers
Our algorithms build a dataset of future load change from the ground up. Use recent year changes to predict the trends and load change drivers. Classes of change include impacts of electric water heat, upgrade to energy efficient appliances, EV loads and home battery use, and new customer loading impacts due to population changes.
EV Adoption Scenarios
Charging Load Impacts
Our tools create a baseline EV adoption rate, then skew it to show counts for Baseline, Conservative, or Extreme scenarios. We can then quantify based on the latest EV model consumption rates and miles driven per EV precisely how many MWh of charging load must be served, and how much ICE carbon has been offset. Build in target date impacts (No new ICE car sales after target year, etc).
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