AI in energy - engineering intelligence into action.
AI has potential.
We make it powerful.
At Full Stack Energy, we know that AI alone doesn’t solve the energy transition. It’s not the code, it’s the context. The real value of AI in the energy sector is unlocked when it’s purpose-built, properly integrated, and continually adapted to real-world energy challenges. That’s where we excel.
AI is only as good as the data it’s trained on, the assumptions it’s guided by, and the infrastructure it powers. We design, tune, and deploy AI systems that don’t just work in theory—they deliver real results, in the field, under pressure.
Our approach.
From algorithms to outcomes.
The rise of artificial intelligence in renewable energy is reshaping how energy is forecasted, distributed, and consumed. But not all implementations are equal. Off-the-shelf algorithms can't navigate grid instability, regulatory complexity, or site-level constraints.
Our edge? We manipulate the model. We manage the data. We engineer the entire system.
We make AI operationally relevant and technically robust—from cloud-native platforms to embedded edge control, and everything in between.
Where we lead:
Applied AI for energy transition technologies.
AI-controlled grid stability.
Our proprietary control systems, including GridAlign™, leverage smart grid AI to perform sub-second decision-making. But unlike generic black-box solutions, ours are explainable, auditable, and built for trust.
- PMU-enabled event response
- Frequency-aware battery dispatch
- Hybrid logic: AI meets traditional controls
Predictive analytics for energy grids.
We build systems that learn from the past and act in the now. Our predictive models go beyond “smart guesses”—they are embedded with domain knowledge and validated against live operational data. This includes:
- AI for energy forecasting (demand and renewables)
- Machine learning for demand response
- Proactive maintenance using anomaly detection
Digital twin energy systems.
We create real-time, simulation-based environments to monitor, test, and optimize operations—before committing capital or impacting production.
- Site-level performance simulation
- Asset-level diagnostics
- Market scenario testing
Intelligent orchestration of DER.
We orchestrate fleets of assets using real-time logic and AI-driven optimization.
- AI in power generation from biogas, CHP, and solar
- VPP frameworks using market signals and load forecasts
- Revenue-oriented DER strategies with built-in risk models
Our point of difference.
There’s no shortage of tools. But execution is everything.
Full Stack Energy stands apart because we:
- Engineer intelligence, not just algorithms.
- Use AI as a precision tool—calibrated, explainable, and auditable.
- Deploy it fast and flexibly, adjusting to your constraints.
- Build systems that continue to learn and improve in operation.
We design AI energy management systems that don’t just report insights—they drive actions.
This is the Full Stack Energy difference: We don’t deploy AI. We operationalise it.
AI is only as smart as the system it’s embedded in.
We specialise in making AI understandable,
responsive, & profitable across:
Smart EV infrastructure
Clean energy integration
Resilient microgrids
Demand shaping
Energy trading
Ready to lead the energy transition with AI that delivers?
Let's talk about how Full Stack Energy can create a custom solution for your business.We are not consultants. We are not software vendors. We are embedded engineering partners who solve tough energy challenges with AI that works when it matters most.