How Artificial Intelligence Is Improving Energy Efficiency in Businesses
The energy transition is advancing hand in hand with digitalization, and Artificial Intelligence has become one of the most useful tools for companies looking to improve their energy efficiency without having to rebuild their facilities from scratch.
In Spain, for example, the National Integrated Energy and Climate Plan (PNIEC) 2023-2030 sets a target of a 43% improvement in energy efficiency by 2030, an ambitious goal that illustrates well where the sector is headed, both in Europe and in other markets with similar decarbonization targets.
What Energy Efficiency Means for a Business
We can define it as achieving the same goods and services while optimizing the energy consumption needed to produce them. That optimization translates into savings, both in energy and cost, which in turn allows for reinvestment in new efficiency measures.
The benefits, broadly speaking, are well known: lower environmental impact, reduced costs, better equipment performance and lifespan, and greater competitiveness. The European Commission has been pointing out for years that a large share of Europe's building stock remains energy inefficient, which gives a sense of just how much room for improvement still exists.
How AI Helps, in Practice
AI allows systems to analyze large volumes of data and detect patterns that would otherwise go unnoticed. Applied to energy, this translates into time saved on repetitive tasks, greater data accuracy, lower operating costs, and better decisions. Here are six concrete applications.
Reconstructing Consumption Curves
When detailed data isn't available, for example, only the generic consumption figure shown on the bill, AI can generate virtual consumption curves with reasonable accuracy. This makes it possible to adjust contracted power, detect billing errors, or change equipment usage schedules to gain efficiency.Virtual Submetering
Based on NILM (Non-Intrusive Load Monitoring) technology, this makes it possible to disaggregate total consumption into that of each individual piece of equipment without installing a meter on each one. It's especially useful in projects spanning many sites with limited metering infrastructure: by installing sensors on a small part of the facility, AI can infer the rest, drastically reducing the cost and rollout time of an efficiency project.Anomaly Detection
Unlike static alerts based on fixed thresholds, AI algorithms can detect when consumption deviates from what's expected at a given moment, identify where and why, and estimate the impact. This makes it possible to anticipate maintenance needs, reduce unplanned downtime, and avoid efficiency losses that would go unnoticed with simpler systems.Benchmarking and Gamification
Comparing energy performance across different sites within the same company, benchmarking, and applying comparison mechanics between teams, gamification, helps site managers stay aware of whether their consumption is on track, and encourages behavioral changes that would otherwise be hard to achieve.Identifying Savings Opportunities
Using predictive models, AI can automatically flag where energy improvement opportunities exist, with personalized recommendations based on each facility's consumption profile.Smart Remote Management
Traditional BMS or SCADA systems require someone to interpret the data to decide what actions to take, which consumes time and specialized staff. Combining remote management with AI allows the system itself to detect improvement opportunities and act directly on the equipment, without constant manual intervention, something especially valuable in a context where fewer and fewer staff are dedicated to maintenance.
In Summary
Energy efficiency no longer depends solely on investing in better equipment, but on knowing how to make the most of the data already being generated in day-to-day operations. Companies with multiple sites, shopping centers, hotels, hospitals, factories, are achieving notable improvements in their energy performance by relying on AI-based management systems, without having to sacrifice comfort or productivity.