No single view of energy consumption across sites -- billing data arrives weeks late and the team can't see real-time demand?
Demand spikes driving peak charges because there's no automated load shifting or demand response capability?
Energy Management Software Development
One platform that connects your meters, assets, and sites -- so your team sees real-time consumption, receives demand alerts, and generates sustainability reports without building a spreadsheet each time.
We build custom energy management systems for utilities, energy retailers, and industrial operators. From smart meter integration to ISO 50001 reporting, we cover the full energy data lifecycle.
Real-time energy consumption monitoring across sites and assets
Demand forecasting and peak demand management
Grid and asset optimisation with automated setpoints
Regulatory and sustainability reporting (carbon, REES, ISO 50001)
Energy management software gives utilities and industrial operators a single view of energy consumption across sites and assets. It connects smart meters, sub-meters, and SCADA data to a platform that monitors consumption in real time, forecasts demand, manages peak load, and generates regulatory and sustainability reports. RaftLabs builds custom energy management systems tailored to your meter infrastructure, tariff structure, and reporting obligations.
100+Products shipped
·24+Industries served
·FixedCost delivery
·12-14Week delivery cycles
The data is there -- the problem is getting it into one place
Most energy-intensive operations already have smart meters, sub-meters, and SCADA systems generating data. The problem is that the data sits in different systems, arrives at different intervals, and requires a data team to assemble into anything useful. By the time the operations team sees last month's consumption report, the peak demand charge has already been billed.
Custom energy management software changes that. It connects your existing meter infrastructure and data sources into a single platform where consumption is visible in real time, demand alerts fire before charges accumulate, and sustainability reports are generated from live data rather than assembled from exports.
The platform is designed around your sites, your tariff structure, and your reporting obligations -- not a generic energy product that requires a consultant to configure each report.
What we build
Real-time consumption monitoring
Smart meter integration via DLMS/COSEM, MQTT, and utility API connections. Sub-metering at cost centre, production line, or building level. Live dashboards showing consumption by site, asset, and time period with comparison against baseline and budget. Alerts for consumption anomalies or threshold breaches. Export to billing and ERP systems. A single operational view that replaces the manual process of pulling interval data from each meter portal and combining it in a spreadsheet.
Demand forecasting
ML-based load forecasting models trained on your interval meter data, production schedules, and weather data. Forecasts at 15-minute, hourly, and daily granularity for each site or aggregate portfolio. Peak demand alerts issued hours before forecast demand exceeds your demand charge threshold. Forecast accuracy tracking and model retraining as consumption patterns change. The advance warning that lets your operations team act before a peak demand charge is locked in.
Demand response and load management
Automated load shedding sequences triggered by demand forecasts or real-time demand signals. EV charging optimisation that shifts charging to off-peak windows without manual intervention. HVAC setpoint control based on demand conditions and comfort constraints. Demand response event management for participation in network operator programs. Configurable curtailment priority rules so the right loads shed in the right order without affecting critical operations.
Energy procurement and tariff management
Interval data analysis for tariff comparison and procurement decision support. Time-of-use tariff modelling against actual consumption patterns to identify optimal tariff structures. Network charge analysis including demand, capacity, and ancillary service components. Procurement tender data packages prepared from your consumption history. The analysis layer that turns raw interval data into inputs your energy manager or broker can use for procurement decisions.
Sustainability and carbon reporting
Scope 1, 2, and 3 emissions tracking from energy consumption data. Carbon intensity calculation using grid emission factors by region and time period. Regulatory report generation for REES, NGER, ISO 50001, and custom internal sustainability frameworks. Automated report assembly from live data rather than manual export and calculation. Audit trail for all emissions calculations so every figure in your sustainability report is traceable back to a meter read.
Asset performance monitoring
Health monitoring for transformers, generators, renewable assets, and large energy-consuming equipment. Fault detection from operational parameters and energy consumption patterns. Asset-level energy intensity tracking to identify degrading equipment before it drives consumption increases. Integration with CMMS for maintenance scheduling based on energy performance indicators. The visibility that connects energy consumption data to asset condition rather than treating them as separate problems.
Frequently asked questions
Energy management software connects meter infrastructure, SCADA systems, and operational data to give energy teams a real-time view of consumption, demand, and costs across their portfolio. It replaces the manual process of pulling interval data from meter portals, assembling spreadsheets, and running calculations by hand. A well-built system monitors consumption live, alerts on demand events before charges are incurred, and generates sustainability and regulatory reports automatically. Custom software is scoped to your specific meters, tariff structure, sites, and reporting requirements rather than forcing your process into a generic product.
We integrate with smart meters using DLMS/COSEM protocols, utility interval data APIs, Modbus and BACnet sub-meters, SCADA and BMS systems, and manual meter read imports where automated reads are not available. On the utility side, we connect to AEMO data feeds, distributor interval data portals, and retailer billing APIs where access is provided. For sites with older metering, we can design a low-cost IoT metering layer to add interval-level data capture. We assess your existing meter infrastructure during scoping and design the integration approach around what is already in place.
Demand forecasting uses machine learning models trained on your historical interval meter data combined with production schedules, weather forecasts, and calendar factors such as public holidays and shift patterns. The model learns the consumption profile of each site and identifies how external variables affect load. Forecasts are produced at 15-minute or hourly intervals and compared against your demand charge threshold in real time. When the forecast indicates a likely peak, an alert is sent to the operations team with enough lead time to implement load reduction. Forecast accuracy improves as the model accumulates more data from your sites.
We build report templates for Australian NGER and REES obligations, ISO 50001 energy management system reporting, GHG Protocol Scope 1, 2, and 3 emissions, and custom internal sustainability frameworks. Emission factors are sourced from the relevant national grid intensity databases and updated as published values change. Where Scope 3 data requires supplier inputs, we build data collection workflows to gather and validate those figures. Report outputs are formatted for direct submission or for import into your corporate ESG reporting platform.
