Browsing NHH Brage by Author "Andersson, Lars Jonas"
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A Likelihood Ratio and Markov Chain Based Method to Evaluate Density Forecasting
Li, Yushu; Andersson, Lars Jonas (Journal article; Peer reviewed, 2019)In this paper, we propose a likelihood ratio based method to evaluate density forecasts which can jointly evaluate the unconditional forecasted distribution and dependence of the outcomes. Unlike the well‐known Berkowitz ... -
A comparison of wind forecasting methods for Norwegian on-shore wind : a perspective into the nuances in wind speed to power conversion and the economic costs associated with wind forecast accuracy
Chong, Jae Meng; Kristiansen, Chris (Master thesis, 2020)This paper examines various short-term forecasting methods to forecast hourly wind energy production in Norway. Performance of forecasting methods were compared across different months, through different evaluation ... -
The effect of Time of Use in Norway : an empirical analysis of the effect of Time of Use tariff in combination with four different communication strategies on electricity consumption from a field experiment in Eastern Norway
Fors, Erlend Moen; Ahmed, Sherif (Master thesis, 2021)Norway has the world's second highest electricity consumption per capita (International Energy Agency, n.d.). Increased electrification of society services is expected to push peak consumption to higher levels than its ... -
Empirical comparison of load forecasting methods for Skagerak energilab : a perspective of the operational and economic efficiency gain as a result of increased forecasting accuracy in a microgrid environment
Skarholt, Emil Karsten; Vornicov, Alexandr (Master thesis, 2020)This master thesis is analyzing short-term load forecasting. Power consumption in kW will be forecasted 24 hours ahead, for each day of a week and finally averaged to derive mean performance. The forecast will be conducted ... -
The Impact of Machine Learning and Aggregated Data on Corporate Insurance Modelling: An Empirical Study on the Prospective Gains of Machine Learning Techniques Using New Data Sources In the Insurance Industry
Hellestol, Tonje; Eriksen, Petter (Master thesis, 2022)This thesis investigates the potential applicability of machine learning techniques m predictive modelling on corporate insurance customers. The focus is on predicting a binary classification of claim occurrences and a ... -
Norway: A War Profiteer or Equitable Market Participant?" How much of Norway’s 2022 natural gas export revenues to the EU can be explained by the influence of the Russia-Ukraine conflict on natural gas prices using Russian supply shortfall of pipeline gas as a proxy . A Structural VAR Approach
Hjalte, Eirik; Gaasland, Ida Elisabeth Uberg (Master thesis, 2023)On the 24th of February 2022, Russia invaded Ukraine. The following months were characterized by major supply disruptions of Russian pipeline gas, soaring prices, and record revenues for Norwegian natural gas exports. ... -
Sentiment Analysis in The Norwegian Housing Market: Evaluating the inferential and predictive power of sentiment scores on housing price using linear modelling and machine learning
Yksnøy, Mads Parr; Skutle, Erik (Master thesis, 2021)In this thesis, we investigate how information and sentiment provided through news media affect prices in the Norwegian housing market. Our analysis is based on news articles from selected Norwegian news outlets, transaction ...