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We apply neural networks and random forest to study geological data. In part one of the thesis, a ground water level prediction task is performed with recurrent neural networks, random forest and vector autoregression. The input data consists of weather data and other ground water level time series. The MAE and R-squared is evaluated and the variation in performance of the neural networks is discu
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To fully decarbonise the energy system, electrification is needed as one of the most important strategies for reducing carbon dioxide emissions in Sweden and Europe. The deployment of renewable energy resources plays a central role in electrification and will continue to increase. In January 2024, Svenska Kraftnät published a long-term market analysis with four future scenarios regarding the devel
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The aim of the study was to investigate the participating psychologists’ experiences with compassion fatigue, and to identify individual, interpersonal and organizational factors and strategies perceived as contributing or protecting in relation to compassion fatigue. Semi-structured telephone interviews were conducted with eight psychologists (three men and five women) with more than five years o