Using predictive algorithms, we can move from ‘firefighting’ to forward thinking and anticipation. By intelligently balancing local supply and demand – what we call ‘behind-the-meter optimisation’ in the UK – organisations can manage their energy systems much more efficiently. This not only delivers substantial cost savings but also contributes to CO2 reduction and provides greater operational flexibility.
In this article, we’ll guide you through the world of proactive energy management. We’ll demonstrate why the traditional approach is no longer effective, explore the possibilities of dynamic optimisation, and show how organisations can put this into practice. Because one thing is certain: in today’s energy market, smart forward planning is no longer a luxury – it’s an absolute necessity.
Why Reactive Energy Management Is No Longer Sufficient
The rules of the energy market have fundamentally changed. While energy prices were once relatively stable and grid capacity wasn’t an issue, we now face extreme price volatility and increasing grid constraints. With a traditional, reactive approach, organisations are increasingly running into problems.
Consider this scenario: a manufacturing facility is operating at full capacity when suddenly energy prices spike to record levels. Or imagine a logistics centre planning to expand with additional charging points for electric trucks, only to discover that the local grid cannot handle the additional load. Without proactive energy management, you’re backed into a corner – your only options are to accept excessive costs or postpone growth plans.
We’re seeing these situations more frequently in practice. Take, for example, a distribution centre with a large fleet of electric forklifts. Traditionally, these would all be plugged in to charge simultaneously at the end of the working day. One day, the company faced unexpectedly high peak prices during their usual charging window. With a reactive approach, there’s little you can do in this situation. However, if you can anticipate such price spikes, you can intelligently spread the forklift charging throughout the night – with no impact on operations, as the trucks aren’t needed until the following morning.
This example illustrates why we need a new approach. Today’s energy challenges demand forward thinking and smart anticipation. The good news is that the technology to enable this already exists. Using predictive algorithms, we can optimise energy consumption, smooth out peaks, and strategically respond to price fluctuations. This not only reduces costs but also makes organisations more resilient to tomorrow’s challenges.
The question isn’t whether to switch to proactive energy management, but rather: how can you implement this intelligently? In the next section, we’ll examine the role of dynamic optimisation in this process.

What is Dynamic Optimisation?
Dynamic optimisation is all about looking ahead and smart anticipation. It’s comparable to a chess game, where you’re not just considering your current move, but thinking several steps ahead. In the energy world, this means continuously balancing all available energy sources and consumers, while accounting for constantly changing factors – such as weather conditions, energy prices, and available grid capacity.
To enable this, we employ predictive algorithms such as Alice. This isn’t a standard control system that simply follows fixed instructions. Alice utilises artificial intelligence to identify patterns in energy data and continuously learns from them. For instance, if a spike in energy prices is predicted for tomorrow, the Energy Management System (EMS) calculates the optimal strategy to respond right now.
But how does this work in practice? It all begins with a ‘digital twin‘ – a digital replica of your complete energy system. This maps all energy consumers, such as EV charging points and machinery, as well as energy sources like solar panels and battery storage. Through machine learning, the software recognises consumption patterns. It identifies when certain processes demand high energy usage and where there’s flexibility to shift energy consumption – without disrupting business operations.
The intelligent aspect of Alice is that the system goes far beyond simply mapping energy consumption. It makes continuous micro-economic assessments: what is the most cost-effective choice at any given moment? For example, when there’s excess solar energy, the system might choose to charge batteries or bring forward certain processes. However, it always operates within the constraints of your energy contract and available grid capacity.
In essence, you’re creating a traffic controller for your energy system. One that monitors all energy flows 24/7, looks ahead to what’s coming, and consistently makes the best decisions to optimise your energy usage. And the beauty is: the more data the system collects, the better it becomes at making these decisions.

How Businesses Can Prepare for Unexpected Market Fluctuations
Being prepared for unexpected situations – that’s the essence of proactive energy management. With a smart energy management system, you can put this into practice. Let’s examine how this works in real-world scenarios.
Consider a production facility with solar panels and battery storage. The system continuously monitors weather forecasts and energy prices. If tomorrow promises sunny weather and low electricity prices, Alice ensures the batteries are charged at the optimal time. This stored energy can then be utilised when prices are high or during periods of limited sunlight.
The system also responds intelligently to signals from grid operators. For instance, when there’s high wind or solar generation and the grid risks becoming overloaded, businesses can play an active role in grid balancing. Alice can instantly adjust energy consumption temporarily – naturally, only in areas where it won’t disrupt operations. This helps resolve local grid imbalances and supports the wider energy system.
Perhaps most importantly, the system thinks ahead. By calculating various scenarios, you know exactly what happens if the weather suddenly changes or if there are unexpected price fluctuations. This allows you to prepare for different situations and removes the need for ad-hoc decision making.
This delivers tangible benefits:
- Firstly, you’ll see immediate financial returns. By intelligently anticipating peak prices and maximising usage during low-cost periods, energy costs can be significantly reduced. Some businesses achieve savings of up to 20% on their energy bills.
- Additionally, it contributes to your sustainability goals. By operating more energy-efficiently and optimising the use of renewable sources, you reduce your company’s carbon footprint. The system ensures, for example, that self-generated solar power is used optimally.
- Finally, you gain greater control over your energy system. You’re no longer at the mercy of energy market volatility but can flexibly respond to changing circumstances. This provides peace of mind – you know your energy system is well-managed, even in unexpected situations.

Scalability and Future-Proofing
The energy transition demands solutions that can evolve alongside tomorrow’s challenges. The beauty of a system like Alice is that it works just as effectively for a single business site as it does for an entire business park. In fact, the more complex the situation, the more value the system can deliver.
Consider energy hubs – clusters of businesses that collectively optimise their energy systems. Alice can control and coordinate energy flows within such a hub, taking into account the needs and capabilities of all connected parties.
The scenario becomes even more interesting when different hubs begin communicating with each other, creating what we call a ‘holon’.
A real-world example illustrates this concept. Imagine a university campus that consumes most of its power during the day, while a nearby sports stadium experiences peak energy consumption in the evening. By intelligently coordinating these energy hubs, they can complement each other. The system can, for instance, redirect surplus energy from one location to areas where demand exists at that moment.
Crucially, Alice can communicate with other energy management systems. It essentially functions as a universal language, connecting different systems together. This enables cross-sector solutions – such as linking industrial processes with office buildings or sports facilities.
Perhaps the most remarkable aspect of the system is its continuous learning and development. Through machine learning, the algorithm becomes increasingly adept at recognising patterns and predicting situations. It automatically adapts to changing market conditions and energy requirements. Regular updates and new functionalities ensure the system keeps pace with the latest developments in the energy sector.
This makes Alice not just a solution for today’s challenges, but an investment in the future. Because one thing is certain: the energy market will continue to evolve. With a scalable and adaptive system, you’re ready for whatever comes next.

Smart Trading in Energy Markets
Beyond optimising your own energy system, Alice opens up new revenue streams through intelligent trading in energy markets. The system not only predicts and optimises energy flows but can also offer excess capacity in the Balancing Mechanism and ancillary services markets, including Dynamic Containment and Dynamic Regulation services through National Grid ESO.
How does this work in practice? Consider a business with battery storage or flexible assets such as EV charging hubs. During periods when this capacity isn’t needed for internal operations, Alice can automatically determine whether it’s advantageous to offer this flexibility to the grid operator. The system continuously evaluates multiple factors: your own energy requirements, current market prices, and grid demand. This enables you to contribute to grid balancing while receiving attractive compensation.
This isn’t a minor consideration – recent projects demonstrate that businesses with substantial battery capacity and solar installations can generate significant additional revenue by making their flexibility available to the grid. The elegance of Alice lies in its ability to manage this automatically, without compromising your own energy needs. The system ensures you consistently operate within your contracted capacity while simultaneously capitalising on energy market opportunities.

In Conclusion
In an energy market that’s becoming increasingly dynamic and complex, proactive energy management is no longer a luxury but an absolute necessity. The era of reactive management – waiting for problems to arise before taking action – is firmly behind us. With Alice, we have the technology to look ahead and intelligently anticipate what’s coming.
By intelligently balancing local supply and demand, organisations can optimise their energy systems without compromising their operations. This not only delivers substantial cost savings but also provides greater control over your energy management while contributing to your sustainability goals.
Interested in seeing how this could work for your organisation? We’d be delighted to demonstrate how Alice works through a no-obligation demo. You’ll see firsthand how the system maps your energy landscape, calculates various scenarios, and makes intelligent decisions. This will give you a concrete understanding of the possibilities for your specific situation.
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