Do you want to use advanced Artificial Intelligence techniques to make a practical real-life contribution to Europe’s energy transition?! Within the Knowledge Engine team, we connect SmartHome-systems in the Horizon2020-project InterConnect, thereby balancing the local energy consumption (heating, electricity, vehicle chargers) and energy production (solar cells, wind energy, heating nets, home batteries). In the greenhouse domain, we apply symbolic AI solutions (knowledge representation & reasoning) to standardize the way data is collected and exchanged. We make sure that greenhouse construction data as well as sensors/machine/digital twin data is explicit for the systems and international stakeholders in the sector (growers, builders, suppliers, etc.). The solutions enable the use of industry standards, prevent errors and many-to-many API connections, and can be used to infer new knowledge. The current challenges in the labour market ask for new approaches to do matching of job seekers and employers. TNO is convinced that matching on skills instead of diplomas is the way forward. With our team we contribute to this transition by developing solutions to capture and map knowledge models on occupations, skills and qualifications and to support semi-automatic evolution of such knowledge models based on the continuously changing context.