AI-Driven Energy Optimization: The Fastest Lever for Economic Efficiency

Amid high energy costs and fluctuating prices, efficiency in heating operations is becoming increasingly important. At the same time, many buildings carry a hidden cost factor: heating systems that are not “malfunctioning” but consistently consume more energy than necessary. This brings system operation into focus as an immediate lever for improvement. Digital, AI-driven optimization systematically reduces this overconsumption and makes efficiency measurable – without compromising comfort, requiring extensive renovations, or involving high investments.

Particularly in older, unrenovated buildings, heating systems are often still operated based on experience. Standardized heating curves and inefficient continuous operation are common. Smart, data-driven optimization offers a solution. Modern digital systems rely on a combination of sensors, algorithms, and real-time analyses. While the commonly offered one-time manual adjustment can yield short-term efficiency gains, the real key to sustainable energy savings lies in continuous, dynamic system optimization. These solutions take into account user behavior, historical consumption patterns, location-specific weather data, and the building’s thermal inertia. This means the system “learns” and increasingly adapts to the actual needs of residents – not the other way around. For property managers, this is a crucial point: acceptance of new solutions arises only when living comfort is guaranteed and optimization occurs in the background, without forcing residents to change their behavior.

Efficiency and Transparency Combined

A company that consistently follows this approach is Berlin-based KUGU Home GmbH. KUGU has developed a solution that digitalizes existing heating systems and continuously optimizes them – without extensive structural modifications. The foundation is an individual digital building twin that models the building’s thermal behavior. This technology is part of the KUGU Energy Suite, which integrates all processes related to energy optimization. At its core is the Energy Optimization System (EOS), which uses AI-driven algorithms to analyze and automatically optimize heating system operation. In practice, this means EOS controls the heating system automatically based on real-time operational parameters. Instead of being “set correctly once,” the system is continuously optimized.

Complementing this, the Visual Information System (VIS) ensures transparency: it displays consumption and performance data in real time, allowing operators to identify savings potential and understand how changes in heating behavior affect the system. Additionally, the system can detect errors and inefficiencies early, automatically, and without on-site inspections, enabling informed system assessments and quick responses to changes.

Contractually Guaranteed Savings

By combining optimization and visualization, energy consumption, costs, and CO₂ emissions can typically be reduced by over 20 percent, while maintaining high comfort for residents. Software operating costs can be allocated within this model, but instead of trading sustainability against additional costs, the solutions generate real financial savings beyond ongoing expenses. This creates an ecologically and socially responsible approach to building decarbonization and sustainability. KUGU is so confident in this approach that customers benefit from a contractually guaranteed savings of at least 12 percent.

15 Percent Discount for GdW Members

To facilitate the adoption of digital energy optimization, the GdW Bundesverband Wohnungswirtschaft has partnered with KUGU in a sector-wide cooperation for its member companies. In addition to the guaranteed 12 percent energy savings, GdW members receive an exclusive 15 percent discount on the monthly base fee. The promotion is valid until May 31, 2026.

Pilot Project with Gewobag Shows Results

Berlin-based Gewobag Wohnungsbau-Aktiengesellschaft has already extensively tested the solution. During a pilot phase, ten Gewobag buildings achieved noticeable energy and emissions reductions through KUGU’s system: between October 2024 and March 2025, approximately 260,000 kWh of energy, over 50 tons of CO₂, and more than €18,000 in energy costs were saved in the equipped properties.

These efficiency gains were achieved during normal operation, without extensive renovations or structural interventions. The optimization was enabled by installing the KUGU Hub in the heating cellar, where the control unit continuously records operational data that is then analyzed in the cloud. The digital building twin, weather forecasts, and defined comfort requirements are combined with the continuously recorded measurements. Based on this data, KUGU EOS automatically calculates the optimized heating output for the following day on a daily basis. The results are convincing: the project is planned to expand to 250 systems.

Economic Transformation of the Building Stock

For the housing sector, there is no alternative to digital solutions if efficiency in heating operations is to be ensured. AI-driven optimization, such as that provided by KUGU, allows the industry to achieve measurable savings while maintaining comfort and avoiding high investments. This contributes significantly to the economically and socially responsible transformation of the building stock. It also shifts the focus where it belongs: away from behavioral appeals, and toward technology that reliably ensures comfort and automatically delivers efficiency.

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