Energy system planning, digital twin simulation, AI enhancement and IoT integration.
EnergyAISolutions provides planning for new energy systems and AI enhancement for existing ones. Planning covers load and renewable resource assessment, sizing of generation and storage, digital twin simulation over a horizon agreed with the client (typically 5 to 20 years), and a standards-compliant feasibility and design report. AI enhancement covers forecasting, anomaly detection and uncertainty management, supported by IoT integration, SQL databases on edge and cloud servers, SCADA and custom embedded hardware — across data centre, microgrid, residential and industrial applications.
Four capabilities underpin every project.
Whether the site is a 50 MW data centre or a single industrial feeder, every engagement is built on the same four capabilities.
Digital Twin
A simulation model of the load, generation and storage, driven by measured weather data, dispatched at a fine timestep, and stress-tested over multi-year horizons rather than individual days.
Applied AI
Forecasting, anomaly detection and adaptive dispatch developed for energy data, including deep-learning forecasting, condition monitoring, deep reinforcement learning and MILP optimisation.
Assessments
Load, renewable resources and storage are assessed on measured data and sized against one another, so that the system meets a defined reliability target rather than a rule of thumb.
Reports
Comprehensive reports covering sizing, year-by-year performance, full cost analysis and the standards against which the design was verified, with every figure traceable to the model that produced it.
Two service tracks, depending on the project stage.
Four application areas, one analytics engine.
A common acquisition, forecasting, dispatch and feasibility framework, configured for the load each application area must serve.
Data centre
Hyperscale and colocation load, 24/7 critical supply, tiered redundancy.
Microgrid
Grid-connected, islandable or fully off-grid community and campus systems.
Residential
Homes, estates and apartment blocks with rooftop PV and behind-the-meter storage.
Industrial
Process loads, heavy motor starting, power quality and demand-charge exposure.
Research-grade methods, industry-grade deliveries.
Our methods are grounded in published research, including transformer-based forecasting, deep reinforcement learning and MILP optimisation. Our deliverables are engineered to pass commissioning and to maintain their performance in long-term operation.
About the team →