Control technology plays an important role in the development of Wave Energy Converters (WECs), from optimising the wave energy extracted in the first step of energy conversion to their...
SINTEF Energy has instrumentation and personnel for measuring voltage and current in high-voltage and low-voltage facilities, at grid owners, generators, ships, and industrial plants. The...
SINTEF Energy Research possesses comprehensive expertise on definitions related to faults and interruptions in the power system, analysis of faults and interruptions, the use of fault and...
SINTEF develops capabilities that combine big-data analytics with autonomous maritime vehicles to improve the precision and efficiency of commercial fishing. By uniting strategic forecasting with...
Computational design is the integration of computation into the design process. Traditional design relies on the designer's creativity, experience, and education for the generation of a single...
Stormwater modeling involves numerical simulation to predict the flow, accumulation, and quality of water runoff within a specific area during storm events. The topic is gaining in importance...
Physical systems typically have uncertainties in them, either in the specification of the model equations or input data to the equations. To properly capture the possible outcomes of the model,...
Data assimilation is the process of integrating observations with model predictions to produce improved estimates of the state of a system. It merges real-time observations with numerical...
Sustainable energy solutions require an understanding of how the use of technology affects the environment in a holistic perspective. By using Life Cycle Analysis (LCA), one can systematically...
Julia is a high-level, high-performance programming language that aims to combine the ease of use of high-level programming languages like Python and MATLAB with the high performance of compiled...
Modeling and simulation of large scale gas storage Underground gas storage and in particular Undergroud Hydrogen Storage (UHS) plays a growing role in the shift to a sustainable hydrogen-based...
Model-based optimization of long-term reservoir performance typically entails running a large amount of computationally demanding reservoir simulations. This limits, if not prohibits, black-box...
A Knowledge Graph supports integrating information from different sources. A Knowledge Graph (KG) is a network of interconnected nodes, each representing a resource, and edges denoting...
The variable-coefficient Laplace operator, ∇ · K∇, appears in many mathematical models across various disciplines. Unless the computational grid aligns with the principal directions of the...
Related projects ML4ITS – Machine Learning for Irregular Time Series RICO Time series data is pervasive across industries such as energy, healthcare, transportation, and finance. However,...
Related project RICO Artificial intelligence systems are increasingly deployed in critical and dynamic environments where reliability is essential. However, AI models are often vulnerable to...
Related project RICO Uncertainty Quantification (UQ) in AI is essential for evaluating the reliability and robustness of model predictions. It highlights where models are confident, uncertain,...
Combining machine learning and analytical models may yield the best of both worlds. Machine learning models are flexible and powerful, but they often function as black boxes with high data...
CPS finds itself in systems ranging from high-confidence devices in critical infrastructure, automotive, defense, medical, and industrial control systems, to other systems such as household...
Biological and biotechnological systems are often very complex, containing a large number (hundreds to thousands) of distinct chemical compounds. The use of mass spectrometry (MS) coupled to...