Energy Optimization
Energy Optimization Consulting for Complex Energy Systems
The Problem
Many energy organisations know they are leaving value on the table — but struggle to pinpoint where or why.
Common issues we see:
- Dispatch and scheduling decisions that do not reflect real constraints
- Storage and flexibility assets underperforming expectations
- Optimisation models that break down under uncertainty or scale
- Vendor tools that cannot adapt to market, regulatory, or physical realities
These are not tooling problems.
They are optimization problems — and they are inherently context-specific.
What We Do
Full Stack Energy provides energy optimization consulting for organizations facing complex, high-stakes operational decisions.
We design and deliver bespoke optimization solutions that reflect:
- Your assets
- Your constraints
- Your markets
- Your risk profile
Our work spans the full lifecycle — from problem formulation to deployment in live operations.
These are not tooling problems.
They are optimization problems — and they are inherently context-specific.
Typical Optimization Problems We Solve
- Battery and storage dispatch optimization
- Multi-asset portfolio optimization
- Energy trading and scheduling under uncertainty
- Flexibility valuation and control
- Market participation and bidding strategy optimization
- Co-optimization across generation, storage, and demand.
If your problem does not fit cleanly into a vendor tool, it is likely a good fit for our approach.
Who We Work With
- Mid-market energy companies
- Storage and flexibility operators
- Energy-intensive industrials
- Advanced energy and infrastructure teams
Most of our engagements begin with a single, well-defined optimisation challenge — and expand from there.
How We Work
1. Problem Formulation
We start by working with your team to precisely define the decision problem:
- Objectives and trade-offs
- Physical, market, and operational constraints
- Data availability and uncertainty
Getting this right is where most optimization efforts succeed or fail.
2. Model Design
We design custom optimization models using appropriate techniques:
- Mathematical optimization (LP, MIP, stochastic optimization)
- Simulation and scenario analysis
- Forecast-coupled decision models
Models are built for your system, not a generic abstraction.
3. Implementation & Deployment
Depending on your needs, we can:
- Integrate models into existing systems
- Build bespoke software components
- Support operational rollout and tuning
We work across quantitative modelling, software engineering, and hardware integration where required.
Why Full Stack Energy
We are a consultancy, not a software vendor.
That matters.
- We are vendor-agnostic
- We are not incentivized to force your problem into a product
- We optimize for outcomes, not licenses
Our team combines:
- Deep energy domain expertise
- Advanced optimization and applied AI capability
- Practical experience delivering solutions in real operational environments
What a First Conversation Looks Like
A first discussion is not a sales demo.
In a 30-minute call, we will:
- Understand the decision you are trying to improve
- Identify key constraints and sources of complexity
- Assess whether optimization is the right approach
- Outline potential paths forward
If there is a fit, we will propose a scoped next step.
If not, we will tell you.