Browsing USN Open Archive by Author "Brastein, Ole Magnus"

Now showing items 1-12 of 12

    • Clustering time-series data 

      Rudolfsen, Anders (Master thesis, 2024)
      This thesis investigates the application of machine learning techniques to classify and cluster time-series data from motor vibrations, focusing on enhancing condition-based monitoring (CBM) systems for industrial ...

    • Digital twin for monitoring, optimization and training in battery production 

      Moe, Ronnie Andre Horne (Master thesis, 2022)
      A Norwegian battery manufacturer with goals of becoming the most technological workplace globally, is working on developing 1D and 3D digital twin to model and optimize the battery production process. The objective of ...

    • Estimating uncertainty of model parameters obtained using numerical optimisation 

      Brastein, Ole Magnus; Lie, Bernt; Pfeiffer, Carlos Fernando; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)
      Obtaining accurate models that can predict the behaviour of dynamic systems is important for a variety of applications. Often, models contain parameters that are difficult to calculate from system descriptions. Hence, ...

    • Grey-box models for estimation of heating times for buidings 

      Brastein, Ole Magnus (Master thesis, 2016)
      Energy-usage in buildings is responsible for a large part of the total demands on energy production. Models are required to estimate the heating and cooling times of buildings, thus allowing a control system to accurately ...

    • Hybrid Model Predictive Control Scheme for Controlling Temperature in Building Under Uncertainties 

      Jeong, Changhun; Brastein, Ole Magnus; Skeie, Nils-Olav; Sharma, Roshan (Peer reviewed; Journal article, 2023)
      This paper presents a study on temperature control with a heater in a building using Model Predictive Control (MPC) with a focus on addressing two uncertainties: in model and the weather forecast. In previous works, a ...

    • Machine Learning in Python for Weather Forecast based on Freely Available Weather Data 

      Abrahamsen, Erik Boye; Brastein, Ole Magnus; Lie, Bernt (Journal article; Peer reviewed, 2018)
      Forecasting weather conditions is important for, e.g., operation of hydro power plants and for flood management. Mechanistic models are known to be computationally demanding. Hence, it is of interest to develop models that ...

    • Object detection, information extraction and analysis of operator interface images using computer vision and machine learning 

      Illing, Eirik (Master thesis, 2023)
      Operator interface display images, often referred to as HMI, contains large amounts of information that can be valuable to obtain. If access to the source code or design files are limited, modern frameworks for object ...

    • Parameter estimation for externally simulated thermal network models 

      Brastein, Ole Magnus; Lie, Bernt; Sharma, Roshan; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)
      Obtaining accurate dynamic models of building thermal behaviour requires a statistically solid foundation for estimating unknown parameters. This is especially important for thermal network grey-box models, since all their ...

    • Parameter estimation for grey-box models of building thermal behaviour 

      Brastein, Ole Magnus; Perera, Degurunnehalage Wathsala U.; Pfeiffer, Carlos Fernando; Skeie, Nils-Olav (Journal article; Peer reviewed, 2018)
      Good models for building thermal behaviour are an important part of developing building energy management systems that are capable of reducing energy consumption for space heating through model predictive control. A popular ...

    • Sensor placement and parameter identifiability in grey-box models of building thermal behaviour 

      Brastein, Ole Magnus; Sharma, Roshan; Skeie, Nils-Olav (Journal article; Peer reviewed, 2019)
      Building energy management systems can reduce energy consumption for space heating in existing buildings, by utilising Model Predictive Control. In such applications, good models of building thermal behaviour is important. ...

    • Short-Term Solar and Wind Power Generation Prediction 

      Mollasalehi, Afsaneh (Master thesis, 2023)
      The increasing global population has raised concerns about the sustainability of energy supply. Renewable energy sources like solar and wind power have garnered significant attention due to their environmental benefits. ...

    • Vertical track geometry identification from IMU data and GNSS data 

      Jørundland, Ruben Svedal (Master thesis, 2023)
      This report presents a study on predicting the elevation of a stretch of railroad track using a combination of sensors, data processing techniques, and algorithms. Initially, the research aimed to utilize both an IMU sensor ...