Wedoco builds digital twins and AI-driven controls so that buildings, plants, and grids run cleaner, cheaper, and smarter.
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Years in research
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Flagship projects
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Energy focused
About
We are a team of engineers and scientists with a passion for energy systems. We develop digital twins to enable predictive analysis and performance improvements.
Our mission is to boost efficiency in energy systems through modeling, optimization and predictive control.
Our vision is a sustainable society with smart energy systems.
Services
We develop physics-based models calibrated with data for simulation and optimization. We are committed to delivering high-fidelity models that are easily accessible and extensively documented.
We are involved in multiple research projects in collaboration with other international partners and universities. Through innovation we deliver cutting-edge technology for our clients.
We love learning. We provide tailored teaching on Modelica, software development, BOPTEST, and advanced controls like model predictive control and reinforcement learning.
Technology
We build physics-based predictive models of your energy system and calibrate them against your operational data. The model understands your system and optimizes your process. Every model is documented end to end. Every dashboard is co-designed with you.
We write a physics-based predictive model of your equipment, topology, and operating envelope. The model is then calibrated against operational data until it tracks the real system within a few percent.
A live dashboard exposes the model and the system side by side. Every chart, KPI, and view is fully tailored to your specifications. Anomalies, drift, and degradation show up the moment they appear.
The same predictive model continuously searches for better setpoints and strategies, driving the system toward ideal performance on every cycle. Forecasts of weather, demand, and prices feed every decision.
Generic templates can't tell the difference between your boiler and the one next door. We build a predictive model specifically for your system and calibrate it against live data, until it predicts the right thing.
A model nobody can read is a model that gets ignored. Every project ships with a dashboard tailored to the system it monitors, showing the variables your team cares about and the views you actually want to see in operations.
Projects
Modelica libraries for the design and operation of building and district energy systems.
Development of BOPTEST, a framework for building control performance benchmarking.
Repository for the optimization of Modelica models.
A framework for the evaluation and benchmarking of controllers for building energy management.
Development of reinforcement learning algorithms for building energy management.
Contact
Drop us a line — we read every message and reply within a few days.