Sökning: "Energy demand forecasting"
Visar resultat 1 - 5 av 12 avhandlingar innehållade orden Energy demand forecasting.
1. Archetype identification in Urban Building Energy Modeling : Research gaps and method development
Sammanfattning : Buildings and the built environment account for a significant portion of the global energy use and greenhouse gas emissions, and reducing the energy demand in this sector is crucial for a sustainable energy transition. This highlights the need for accurate and large-scale estimations and predictions of the future energy demand in buildings. LÄS MER
2. Operation, Monitoring, and Protection of Future Power Systems: Advanced Congestion Forecast and Dynamic State Estimation Applications
Sammanfattning : The electrical power systems are undergoing drastic changes such as increasing levels of renewable energy sources, energy storage, electrification of energy-efficient loads such as heat pumps and electric vehicles, demand-side resources, etc., in the last decade, and more changes will be followed in the near future. LÄS MER
3. Spatio-temporal forecasting and optimization for integration of solar energy in urban energy systems
Sammanfattning : The increasing penetration of non-dispatchable renewable energy sources such as photovoltaic (PV) systems in the electricity generating mix poses challenges to the operational performance of the power system. On the demand side, advanced schemes that increase the flexibility of customer loads and the increase in electrification are set to noticeably alter electricity demand. LÄS MER
4. Hydrological Seasonal Forecasting
Sammanfattning : In Sweden, almost half of the electricity produced comes from hydropower. However, the amount of water in the reservoir catchments is not evenly distributed throughout the year. During the colder months, precipitation usually falls as snow and accumulates into a snowpack. LÄS MER
5. Improved mapping of steel recycling from an industrial perspective
Sammanfattning : The results from this study show that it is possible to obtain data series on the steel scrap collection based on mass balance model on the crude steel production figures by steelmaking reactor type and additional knowledge on process metallurgy as well as information on inputs and outputs into the reactors with an area correlation coefficient of 0,91 compared to data obtained from trade statistics. Furthermore, the study shows that based on a new method it is possible to calculate the time duration of mass flows on a continuous basis. LÄS MER