Peak Demand Forecasting
Forecast potential Global Adjustment peak periods and receive alerts in advance.
Predict. Prepare. Save.
Avoid surprise charges and take control of your energy spend. Get ahead of demand spikes with real-time alerts and smart planning tools that help reduce energy costs without slowing down operations.
Try it outPeak Demand Planning
Flutter Energy helps industrial facilities anticipate high-demand periods and plan operations around them to reduce electricity costs and improve energy use.
Forecast potential Global Adjustment peak periods and receive alerts in advance.
Coordinate battery charging and stored energy use around peak and off-peak periods.
Plan energy-intensive production and maintenance around expected demand conditions.
Energy expertiseCombines software, energy systems, and industry knowledge.
Lower energy costsHelps industrial teams respond to rising electricity costs.
Peak demand planningHelps facilities prepare for grid peaks and changing demand.
More efficient operationsSupports long-term energy efficiency and operational resilience.Flutter Energy is on a mission to help industries take control of their electricity costs through AI-driven demand peak prediction. By forecasting peak usage periods before they happen, we enable smarter planning, lower energy bills, and greener operations.
We’re building for a future where industrial efficiency and environmental responsibility go hand in hand so companies can thrive sustainably without compromise.
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Take control of your energy usage with real-time intelligence and smarter planning. With Flutter Energy, you can respond quickly, operate efficiently, and reduce energy costs.
Contact UsAt Flutter Energy, we empower industrial businesses to take control of their electricity costs and sustainability goals through intelligent, data-driven energy management.
Flutter Energy helps large energy users anticipate periods of high electricity demand and make more informed operational decisions.
Identify potential Ontario Global Adjustment peak periods in advance.
Plan production, energy use, and load shifting around expected peaks.
Bring forecasting, facility data, sensors, and energy storage into a more coordinated system.
Energy Leadership
Driving the future of industrial energy with a team committed to innovation, sustainability, and transformation.
Chief Executive Officer
Chief Technology Officer
Chief Financial Officer
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At Flutter Energy, we empower industrial businesses to take control of their electricity usage and reduce operating costs. Our AI-driven energy management platform is designed specifically for large-scale energy consumers facing high electricity bills, global adjustment charges, and peak demand penalties. With real-time insights, predictive intelligence, and actionable recommendations, Flutter Energy helps your operations become smarter, more efficient, and more cost-effective.
At a Glance
The platform gathers data from IESO, IoT sensors, weather forecasts, and facility systems to build a complete picture of energy use and market conditions.
AI models analyze patterns and forecast upcoming peak hours, so your team can prepare early.
Once a potential peak is detected, the system notifies your team immediately through real-time alerts across desktop and mobile.
The platform recommends optimal times to run, shift, pause, or reschedule tasks. It aligns resource planning and production scheduling with predicted peak windows.
Batteries charge during low-cost periods and automatically supply energy during peak events, reducing demand charges without interrupting operations.
Dashboards track real-time usage, cost savings, performance trends, and equipment health, helping teams make informed decisions and improve long-term efficiency.
Flutter Energy predicts peak periods early and automates battery switching, helping industrial facilities avoid the most expensive hours of the year. This reduces Global Adjustment charges and lowers overall electricity expenses without disrupting operations.
With smart scheduling and ERP-integrated planning, your team can shift workloads, schedule maintenance, and run equipment more efficiently. This minimizes downtime, prevents over-curtailment, and keeps production running smoothly, even during peak events.
IoT sensors and AI-driven analytics provide live monitoring, predictive maintenance alerts, and energy-performance insights. Teams gain full visibility into energy usage, equipment health, and cost-saving opportunities, allowing data-driven decisions at every level.
Insights on industrial energy management, energy monitoring, and smarter facility operations.
An overview of how manufacturers and facility operators can monitor, analyze, and optimize energy use across industrial operations.
Learn why short demand spikes can affect industrial electricity costs and how monitoring helps facilities make better energy decisions.
An Industrial Energy Management System (IEMS) is a platform that helps manufacturers and facility operators monitor, analyze, and optimize energy use across industrial operations.
An Industrial Energy Management System (IEMS) is a platform that helps manufacturers and facility operators monitor, analyze, and optimize energy use across industrial operations. It combines metering devices, data collection, and energy management software to provide a clear picture of how energy is being used throughout a facility.
Instead of relying solely on monthly utility bills or periodic reports, an industrial energy management system provides continuous visibility into energy performance. This allows operators to identify trends, investigate unexpected changes in energy use, and make more informed operational decisions.
Energy is one of the largest operating expenses for many industrial facilities. Understanding when, where, and how energy is consumed can help organizations improve efficiency, reduce unnecessary waste, and better manage operating costs.
An energy monitoring system provides real-time and historical data that supports day-to-day decision-making. Rather than reacting to issues after they appear on an electricity bill, facility managers can monitor performance continuously and respond more quickly to changing conditions.
An industrial energy management system can collect and organize data from across a facility, including:
By bringing this information together in one place, organizations gain a better understanding of how their operations affect overall energy performance.
While capabilities vary depending on the platform, most energy management software includes several core features:
These features help facility teams move beyond simply collecting data and instead use it to improve operations.
Effective facility energy management starts with accurate, accessible information. By centralizing energy data, an industrial energy management system allows operations, maintenance, and facility teams to better understand how energy is used throughout a plant.
The insights provided by an IEMS can help organizations:
While every facility has different priorities, having reliable energy data available in one place makes it easier to identify opportunities for continuous improvement.
As industrial facilities become increasingly connected, energy management is evolving from a reporting function into an important part of operational planning. An industrial energy management system gives organizations greater visibility into energy performance, helping teams make informed decisions based on data rather than assumptions.
Whether the goal is improving operational efficiency, reducing unnecessary energy consumption, or gaining better insight into facility performance, an industrial energy management system provides the information needed to support smarter energy management over time.
For many industrial facilities, electricity costs are determined by more than just how much energy is used.
For many industrial facilities, electricity costs are determined by more than just how much energy is used. One of the biggest factors influencing a monthly utility bill is peak demand - the highest level of electricity a facility draws from the grid during a specific period.
Even if overall energy consumption stays relatively consistent, a short spike in electricity demand can increase costs for the entire billing cycle. Understanding how peak demand works is an important step toward making more informed energy management decisions.
Peak demand is the highest average amount of electricity a facility uses during a utility billing interval. It is typically measured in kilowatts (kW) over a set period, such as 15 or 30 minutes, depending on the utility provider.
Peak demand is different from total energy consumption. While energy consumption measures how much electricity is used over time (kilowatt-hours or kWh), demand measures how much power is required at a specific moment.
A facility may use the same amount of electricity each month but still receive different utility bills if its peak demand changes.
Many commercial and industrial electricity rate structures include both energy charges and demand charges.
Energy charges are based on the total amount of electricity consumed, while demand charges are based on the highest level of electricity demand recorded during the billing period.
This means that even a brief increase in electricity usage - such as several large machines operating simultaneously - can establish the facility's peak demand for the month. That single event may influence electricity costs long after the demand spike has passed.
For facilities with energy-intensive operations, demand charges can represent a significant portion of the monthly electricity bill.
Peak demand often occurs when multiple high-power loads operate at the same time. Common examples include:
While these events may only last a short time, they can create the highest electricity demand recorded during the billing period.
Understanding when peak demand occurs is essential for improving energy performance.
By monitoring electricity usage throughout the day, facility teams can:
Rather than relying solely on monthly utility bills, continuous monitoring provides the visibility needed to better understand how daily operations affect electricity costs.
Reducing peak demand does not necessarily require reducing production. In many cases, it involves managing when electricity is used.
Common strategies include:
These approaches can help facilities reduce unnecessary demand spikes while maintaining normal operations.
Peak demand is one of the most important factors affecting industrial electricity costs. While total energy consumption remains an important measure of efficiency, short periods of high electricity demand can have a lasting impact on monthly utility bills.
By understanding how peak demand is measured, monitoring when it occurs, and identifying opportunities to better manage electricity use, industrial facilities can make more informed operational decisions and gain greater visibility into their overall energy performance.
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