About us

Research-grade methods, industry-grade deliveries.

EnergyAISolutions brings together power systems, electronics and artificial intelligence, with a focus on solutions that continue to perform reliably long after project handover.

We work across the full chain of an energy project. We assess and size load, renewables and storage; we develop the digital twin that validates the design over a multi-year horizon rather than a single design day; we design the embedded hardware and circuit boards that monitor and actuate the plant; and we develop the forecasting, detection and control algorithms that let it run intelligently. Because a single team carries each project from analysis through hardware to software, no information is lost between project stages.

Our methods come from published research — deep-learning forecasting, deep reinforcement learning dispatch, MILP optimisation — and several of them have been published as peer-reviewed work. Our deliverables, however, are measured by a practical standard: whether they pass commissioning and continue to perform on site a year later.

EnergyAISolutions is the trading name of Energy AI Solutions Pty Ltd, a proprietary company limited by shares, registered in New South Wales, Australia. We are based in Australia and work worldwide.

Load & resource assessmentEnergy
RES & ESS sizingEnergy
Digital twin & virtual SCADAEnergy
Feasibility & cost analysisEnergy
Embedded / IoT & PCBAHardware
Forecasting & deep-learning modelsAI
Anomaly detectionAI
Deep reinforcement learning dispatchAI
Leadership

Company directors.

Md Morshed Alam

Co-founder & Director
Intelligent grid systems & energy AI
Intelligent gridsMicrogridsBattery storageForecastingDeep learning
LinkedIn profile

Morshed leads the company's research activities. His field is intelligent grid systems, covering renewable energy, microgrids and battery energy storage, with artificial intelligence as the unifying tool across them.

His background spans electrical and electronic engineering, electronics engineering and specialist power-system training in protection, renewable energy engineering, distributed generation and stability analysis. This foundation ensures that our forecasting and optimisation models reflect the behaviour of real networks.

Research focus
  • Energy consumption and generation forecasting
  • Integration of distributed generation
  • Energy management and optimisation, including home energy management systems
  • Integration of artificial intelligence in the smart grid
Methods
  • Supervised, unsupervised and deep-learning modelling with Scikit-learn, TensorFlow and Keras
  • Time-series forecasting and electrical fault detection schemes
  • Python, MATLAB/Simulink and Arduino for modelling, simulation and prototyping
Solutions delivered
  • Time-series forecasting of energy consumption and generation
  • Electrical fault detection schemes
  • Edge AI server and software deployed on an operating PV site
  • National-scale electric vehicle demand forecasting and power-sector readiness study — EV adoption and charging scenarios, generation adequacy and grid readiness assessment, and an interactive scenario dashboard

Raihan Bin Mofidul

Co-founder & Director
Embedded systems, IIoT & digital twins
Embedded electronicsPCBA designIoT / AIoTEdge & cloud AIDigital twin
LinkedIn profile

Raihan contributes the company's hardware and industrial expertise. He spent five years in industrial electronics R&D, rising from Assistant Engineer to Additional Director in the electronics and electrical design section. His work there progressed from embedded electronics, including control units, inverter drivers, PCB design, firmware and wiring harnesses, to IoT-connected products and subsequently to AI-based control.

He has since extended this expertise to energy systems through AIoT: the sensing devices that collect the data, the IoT and server infrastructure that moves and stores it, the edge and cloud AI that acts on it, and the digital twins that show the whole system at work.

Embedded electronics & PCBA
  • Electronic control units, display boards and inverter drivers for mass-produced products
  • Professional PCB design, component sourcing and BOM preparation, and wiring harness design
  • Circuit simulation, analysis, troubleshooting and repair; controller and display firmware
  • Sensor-driven adaptive control algorithms for variable-speed drives, recognised with an award for new innovative technology
IoT, AIoT, edge & cloud AI
  • IoT-connected control systems for production products
  • Smart data acquisition devices feeding secured edge IIoT servers over TLS-protected MQTT
  • Edge and cloud databases (SQL, PostgreSQL) with remote-accessible monitoring dashboards
  • Real-time anomaly detection for individual electrical appliances, deployed on both edge and cloud servers
  • MLOps pipelines for autonomous model training and deployment
Digital twin & analytics
  • Power analytics digital twin of a remote renewable microgrid — live PV, wind and community load, 24-hour deep-learning forecasts, seasonal long-term forecasts and full cost–benefit analysis, accessible in a web browser
  • Power system sizing and feasibility dashboards comparing hybrid, fully renewable and grid-only designs over a ten-year horizon
  • Data acquisition and control systems for cellular base stations, sharing renewable energy with nearby critical infrastructure through extreme events
Registered details

Company registration.

Legal entityEnergy AI Solutions Pty Ltd
ABN17 701 114 776
ACN701 114 776
Company typeAustralian proprietary company, limited by shares
RegisteredNew South Wales, Australia

Every engagement is contracted through Energy AI Solutions Pty Ltd, registered under the Corporations Act 2001 and administered by the Australian Securities and Investments Commission. Our registration can be verified against ABN Lookup and the ASIC company register using either number above.

Formal quotations, engagement terms, insurance certificates and supplier onboarding documents are issued under the legal entity and are available on request.

More

Further information.

Discuss your project with us.

Tell us about your project, and we will apply the appropriate combination of energy, hardware and AI expertise.

Get in touch →