Peak Load Forecasting Software Enables Intelligent Decisions
Sparkion’s intelligent SparkPredict™ peak load forecasting software analyzes your site’s energy use—from EV chargers, renewable assets, batteries and more—for a comprehensive understanding of traffic flow. This intelligence directs the SparkCore™ EMS to better prepare by automatically implementing and continually refining a personalized site plan.
Peak Load Forecasting brochure
Explore the ‘Peak Load Forecasting’ guide to learn how Sparkion’s SparkPredict™ software can transform your energy management strategy, offering insights into optimizing usage and reducing operational costs through intelligent analysis and forecasting.
Developing your load profile
Collecting site data and then tracking loads over time allows you to better anticipate them. Predictable loads lead to efficient, economic and sustainable energy usage. However, understanding these complex traffic patterns is no easy task, especially when they’re affected by changing weather.
Our SparkPredict™ software analyzes data captured by onsite meters to understand a site’s historic and real-time power use. It combines this information with solar forecasts, weather patterns and other factors to predict energy usage and optimize load demand and distribution.
Your digital twin
The more data SparkPredict™ collects over time, the smarter it gets. Sparkion’s machine learning models create a “digital twin” of your site on the cloud. This serves as a live prediction model that can be used to make smart predictions about future daily and monthly site energy usage, particularly around peak consumption. This live model continues to learn and make adjustments based on how the site is used.
Cost-effective energy usage
While it’s enlightening to understand your historic, present, and future load profile, what if you had the ability to control it? Sparkion’s algorithms instruct our SparkCore™ energy management system (EMS) to direct site assets in light of present and predicted power usage to ensure reliable, cost-effective operation.
For example, noting when charging sessions simultaneously occur can help pinpoint peak demand to prepare for these events. Say your digital twin data indicates that all chargers are in use by 3 p.m. Sparkion’s peak load forecasting software will signal its EMS to take proactive measures like ensuring your battery is ready to supply power while also slightly curtailing the charger load for maximum energy output with minimum impact to your utility bill.
Peak load forecasting software informs planning
Predicting future electricity demand patterns can inform capacity planning, ultimately enhancing service reliability and resource allocation as you enjoy reduced energy demand charges and fixed infrastructure and connection costs.
Benefits of Sparkion’s peak load forecasting software include:
- Understand your load profile and energy traffic patterns
- Mitigate demand charges
- Inform future operational and capacity planning
- Optimize EV site load distribution
- Consider solar and weather patterns for accurate predictions
Peak Load Forecasting brochure
Explore the ‘Peak Load Forecasting’ guide to learn how Sparkion’s SparkPredict™ software can transform your energy management strategy, offering insights into optimizing usage and reducing operational costs through intelligent analysis and forecasting.
FAQs
What is peak load forecasting software?
Load forecasting software typically uses a combination of historical data, real-time monitoring, and predictive analytics to forecast peak loads accurately and optimize charging schedules accordingly. Demand forecasting helps electric vehicle site operators manage their infrastructure efficiently while minimizing smart grid impact and operational costs.
Why use Sparkion peak load forecasting software?
SparkPerdict™ is the only software capable of measuring site energy usage in sub-second intervals and mapping electricity traffic patterns between all site assets—including renewables, EV chargers and batteries. This enables more granular data displayed in a consolidated view that allows more accurate predictions to better mitigate peak loads.
What is a digital twin of an EV site?
A digital twin is a virtual representation or forecasting model of the physical EV charging infrastructure and its surrounding environment. It encompasses various aspects of the site, including charging stations, power distribution systems, energy management software, environmental conditions and other relevant factors. The digital twin serves as a live prediction model that can make smart predictions about future daily and monthly site energy usage, particularly around peak consumption.