Essays about: "Prognoser"
Showing result 16 - 20 of 233 essays containing the word Prognoser.
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16. Electrical transition of the automotive industry : A case study of a Swedish automotive tool manufacturer
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The need for sustainability solutions requires a shift towards renewable energy and less dependence on fossil fuels, exemplified by the EU’s Green Deal targeting zero greenhouse gas emissions by 2055. This shift creates uncertainties in the global economy, and it recently sparked the automotive industry’s move from the internal combustion engine (ICE) to the electric vehicle (EV). READ MORE
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17. Improvement of a longterm energy demand forecasting model on a European scale, from data collection to modelling
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Energy demand forecasting has been more vital in recent years with countries setting goals to become climate neutral by 2050. Indeed, energy demand forecasting allows the understanding of drivers of the energy demand in all sectors of the economy. It also allows the planning of transformation of the future energy system. READ MORE
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18. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis focuses on addressing the challenges of resource management in cloud environments, specifically in the context of running resource-optimized applications on Kubernetes. The scale and growth of cloud services, coupled with the dynamic nature of workloads, make it difficult to efficiently manage resources and control costs. READ MORE
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19. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. READ MORE
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20. Predicting Short-term Absences of a Railway Crew using Historical Data
University essay from KTH/Matematisk statistikAbstract : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. READ MORE