Digital solutions for PEDs

nablaDot can contribute to DUT projects as a technology partner specialised in digital solutions for the design, monitoring, prediction and optimisation of Positive Energy Districts (PEDs). The company combines physics-based modelling, operational data, IoT technologies and artificial intelligence to develop digital twins and decision-support tools capable of representing the behaviour of buildings, energy infrastructures and district-scale energy systems.

Its expertise includes the development of data-driven and simulation-based digital twins, integrating monitoring data with physical, reduced-order and AI models; IoT architectures and data-processing pipelines for collecting, integrating and exploiting information from heterogeneous sensors and energy systems; and district energy modelling to assess energy demand, generation, storage, heating and cooling systems, energy exchanges and flexibility.

nablaDot can also contribute advanced renewable-energy forecasting, including short-term solar PV generation forecasting and nowcasting and local wind-field and wind-resource prediction, supporting improved prediction of distributed renewable generation and more efficient operation of local energy systems.

These capabilities can be combined into scalable digital platforms for scenario analysis, predictive operation, energy-flow optimisation, flexibility assessment and decision support, helping municipalities, energy communities, technology providers and building operators to plan and operate PEDs. A key strength of nablaDot is its capacity to combine high-fidelity simulation, reduced-order models, real-time data and AI, bridging detailed engineering analysis with fast digital tools suitable for operational and district-scale applications.