Essays about: "Time Series Prediction"
Showing result 21 - 25 of 242 essays containing the words Time Series Prediction.
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21. Neural Network-Based Residential Water End-Use Disaggregation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sustainable management of finite resources is vital for ensuring livable conditions for both current and future generations. Measuring the total water consumption of residential households at high temporal resolutions and automatically disaggregating the sole signal into classified end usages (e.g. READ MORE
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22. Generative AI for Synthetic Data
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Synthetic data generation has emerged as a valuable technique for addressing data scarcity and privacy concerns and improving machine learning algorithms. This thesis focuses on progressing the field of synthetic data generation, which may play a crucial role in AI-heavy industries such as telecommunications. READ MORE
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23. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. READ MORE
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24. Assessment of building renovations using Ensemble Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the context of global warming, to reduce energy consumption, an unavoidable policy is to renovate badly-isolated buildings. However, most studies concerning efficiency of renovation work do not rely on energy data from smart meters but rather on estimates. READ MORE
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25. Predicting Waveforms with Machine Learning for Efficient Triggering in Monitoring Systems
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Energy systems need to evolve to meet the requirements of the modern world and the future. Hence, substantial effort is needed at an academic and industrial level to develop valuable diagnostic techniques. READ MORE