Blar i NHH Brage på forfatter "Berentsen, Geir Drage"
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Analysis of Norwegian Offshore Wind Power Production : Ranking wind farm locations using a composite index method
Wallevik, Eirik Hjellvik; Klock, Henrik Krohn (Master thesis, 2022)This thesis studies wind power production within the Norwegian Economic Zone, and analyzes the potential production of wind power farm locations outlined by the Norwegian Water Resource and Energy Directorate. Offshore ... -
Assessing Offshore Wind Farm Placements in Norway Is NVE’s current plan optimal – or can we do better?
Osnes, Andreas; Nesheim, Sindre Houge (Master thesis, 2022)Over the last decade, offshore wind has received increased attention due to global warming and the increase in energy demand. Therefore, it is of the highest interest to develop more renewable energy production to satisfy ... -
Climate change and its effects on Norwegian potato production:How to counteract the negative impacts of soil compaction by implementing a predictive simulation model
Vassbotn, Eirik; Sandok, Karoline Erika Wigestrand (Master thesis, 2021)In a world where the population is immersed in the negative effects of climate change, and the extreme weather conditions that emerge, several papers discuss its effect on agricultural practices, and which innovations ... -
Distinguishing potential child insurance customers : a statistical investigation
Altunel, Çaglar; Holte, Hallvard (Master thesis, 2020)In this thesis we try to illuminate possible reasons why the launch of a more affordable child insurance product by an established Norwegian insurance company failed to live up to the company’s expectations. We use three ... -
Interpreting machine learning models: An overview with applications to German real estate data
Grimen, Andreas; Ibrahimli, Huseyn (Master thesis, 2021)Machine learning models have demonstrated huge improvement in examining complex patterns, which allow them to make predictions about the unobserved data. While the accuracy of these models increases over time, so does ... -
Optimal Allocation of Norwegian Offshore Wind Power : A Copula Approach : How can a thoughtful placement of offshore wind parks reduce variability in production output?
Alfsvåg, Henrik Heltne; Sollie, Sander (Master thesis, 2023)This thesis investigates how to optimize stable wind production along the coast of Norway. The research is carried out by studying how well a compound dependency model, consisting of a time series and copula model, for ... -
Predicting defaults in the automotive credit Industry : an empircial study using machine learning techniques predicting loan defaults
Bøe, Petter Telle (Master thesis, 2020)This master thesis explore the potential of Machine Learning techniques in predicting default of vehicle loan applicants. Usually, banks or other financial institutions utilize the Logistic Regression algorithm to support ... -
Predictive modelling of customer claims across multiple insurance policies : an empirical study of how individual customer insurance data can be used to assess customer risk across multiple insurance products by employing machine learning and advanced ensemble techniques
Høysæter, David; Larsplass, Endre (Master thesis, 2020)In this master thesis, we have analysed how individual insurance customer data can be used to assess customer risk across multiple insurance policies. Our dataset contains 63 variables about the characteristics of each ... -
Recognizing and visualizing copulas : an approach using local Gaussian approximation
Berentsen, Geir Drage; Støve, Bård; Tjøstheim, Dag; Nordbø, Tommy (Working paper;12/12, Working paper, 2012-06)Copulas are much used to model nonlinear and non-Gaussian dependence between stochastic variables. Their functional form is determined by a few parameters, but unlike a dependence measure like the correlation, these ... -
Spot Price Forecasting : Evaluating the Impact of Weather Based Demand Forecasting on Electricity Market Predictions
Sveva, Vebjørn; Sundt, Torolv (Master thesis, 2023)This thesis uses electricity data sourced from Nord Pool and weather data obtained from Norsk Klimaservicesenter, seeking to forecast day-ahead spot prices by leveraging temperature-based demand forecasts. Through this ...