Build a Custom Load Scheduling Software Using AI in Minutes
Create your load scheduling software in minutes with AI. Move energy intensive work to cheaper periods and compare metered use, no coding needed.
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Emergent Key Features for Building Load Scheduling Software
The same process costs very different amounts depending on when it runs. Shifting it is usually easier than reducing consumption.
Operations Shifted to Cheaper Tariff Periods
Energy intensive processes scheduled into low cost hours where the operation allows, since moving demand is generally cheaper than reducing it.
Peak Demand Charges Avoided
Simultaneous starts staggered so several large loads do not coincide, because a single half hour peak can set a charge for the whole period.
Capacity Limits Respected
Total demand kept within your supply agreement, so a schedule cannot create an overload or a penalty by running everything at once.
Process Constraints Applied
Sequences that must run together, minimum run times and required cooling periods respected, since not every load can simply be moved.
Cost Modelled Before Committing
The tariff cost of a proposed schedule calculated in advance, so a change is evaluated on money rather than assumed to help.
Actual Consumption Compared with Plan
Metered use set against the intended schedule, which shows whether the shift actually happened or was quietly overridden on the floor.
Load Scheduling Software Use Cases You Can Build in Minutes
The Same Work at a Different Price
Energy intensive operations scheduled into lower tariff periods where process constraints allow, with the saving calculated against running them at the current time.
window.awbMockup = { tariffOptimisation: "Build a tariff optimisation tool scheduling energy intensive operations into lower cost periods where process constraints permit, calculating the saving against the current schedule, and respecting minimum run times and required sequences.", peakDemand: "Build a peak demand manager staggering the start of large loads so simultaneous demand stays within a target, projecting the maximum demand a proposed schedule would create, and alerting when the running total approaches the threshold.", capacityCompliance: "Build a capacity compliance checker summing scheduled demand across all loads against your agreed supply capacity, blocking schedules that would exceed it, and showing the headroom remaining at each interval through the day.", planAgainstActual: "Build a plan against actual comparison importing metered consumption by interval and comparing it against the scheduled load profile, identifying where operations ran outside their planned window, and quantifying the saving lost."};
One Half Hour Sets the Charge
Large loads staggered so their starts do not coincide, keeping the maximum demand within target, since a single peak interval can determine a charge for the entire period.
window.awbMockup = { tariffOptimisation: "Build a tariff optimisation tool scheduling energy intensive operations into lower cost periods where process constraints permit, calculating the saving against the current schedule, and respecting minimum run times and required sequences.", peakDemand: "Build a peak demand manager staggering the start of large loads so simultaneous demand stays within a target, projecting the maximum demand a proposed schedule would create, and alerting when the running total approaches the threshold.", capacityCompliance: "Build a capacity compliance checker summing scheduled demand across all loads against your agreed supply capacity, blocking schedules that would exceed it, and showing the headroom remaining at each interval through the day.", planAgainstActual: "Build a plan against actual comparison importing metered consumption by interval and comparing it against the scheduled load profile, identifying where operations ran outside their planned window, and quantifying the saving lost."};
Within What the Supply Allows
Total scheduled demand kept inside your agreed capacity, so a plan cannot create an overload condition or an excess capacity penalty by running everything together.
window.awbMockup = { tariffOptimisation: "Build a tariff optimisation tool scheduling energy intensive operations into lower cost periods where process constraints permit, calculating the saving against the current schedule, and respecting minimum run times and required sequences.", peakDemand: "Build a peak demand manager staggering the start of large loads so simultaneous demand stays within a target, projecting the maximum demand a proposed schedule would create, and alerting when the running total approaches the threshold.", capacityCompliance: "Build a capacity compliance checker summing scheduled demand across all loads against your agreed supply capacity, blocking schedules that would exceed it, and showing the headroom remaining at each interval through the day.", planAgainstActual: "Build a plan against actual comparison importing metered consumption by interval and comparing it against the scheduled load profile, identifying where operations ran outside their planned window, and quantifying the saving lost."};
Did the Shift Actually Happen
Metered consumption compared against the intended schedule, so a plan overridden on the floor is visible rather than assumed to have been followed.
window.awbMockup = { tariffOptimisation: "Build a tariff optimisation tool scheduling energy intensive operations into lower cost periods where process constraints permit, calculating the saving against the current schedule, and respecting minimum run times and required sequences.", peakDemand: "Build a peak demand manager staggering the start of large loads so simultaneous demand stays within a target, projecting the maximum demand a proposed schedule would create, and alerting when the running total approaches the threshold.", capacityCompliance: "Build a capacity compliance checker summing scheduled demand across all loads against your agreed supply capacity, blocking schedules that would exceed it, and showing the headroom remaining at each interval through the day.", planAgainstActual: "Build a plan against actual comparison importing metered consumption by interval and comparing it against the scheduled load profile, identifying where operations ran outside their planned window, and quantifying the saving lost."};
Schedule energy intensive load in four steps
Operations moved into cheaper periods where the process allows, large loads staggered so peaks do not coincide, and metered use compared against the plan.
Every significant load with its demand and run time, your tariff structure and peak periods, agreed supply capacity, and the process constraints that limit when things can run.
Interval metering so consumption is measured rather than estimated, current tariff data, and plant or building control systems so schedules are applied rather than typed up.
A moved process, a new load, a revised tariff, a different capacity agreement. The cost effect is modelled before anything is committed to the floor.
Check whether the shift actually happened, because a schedule overridden on the floor produces no saving at all and nobody reports it.
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