Sökning: "Forecast uncertainty"
Visar resultat 21 - 25 av 31 avhandlingar innehållade orden Forecast uncertainty.
21. Issues in Urban Travel Demand Modelling : ICT Implications and Trip timing choice
Sammanfattning : Travel demand forecasting is essential for many decisions, such as infrastructure investments and policy measures. Traditionally travel demand modelling has considered trip frequency, mode, destination and route choice. This thesis considers two other choice dimensions, hypothesised to have implications for travel demand forecasting. LÄS MER
22. Artificial intelligence in weather and climate prediction : Learning atmospheric dynamics
Sammanfattning : Weather and climate prediction is dominated by high dimensionality, interactions on many different spatial and temporal scales and chaotic dynamics. This makes many problems in the field quite complex ones, and also state-of-the-art numerical models are - despite their immense computational costs - not sufficient for many applications. LÄS MER
23. On Monte Carlo simulation and analysis of electricity markets
Sammanfattning : This dissertation is about how Monte Carlo simulation can be used to analyse electricity markets. There are a wide range of applications for simulation; for example, players in the electricity market can use simulation to decide whether or not an investment can be expected to be profitable, and authorities can by means of simulation find out which consequences a certain market design can be expected to have on electricity prices, environmental impact, etc. LÄS MER
24. Low energy buildings equipped with heat pumps for high self-consumption of photovoltaic electricity
Sammanfattning : The building sector is a prioritized area in the European Unions (EU) ambition to reduce the total final energy use by 20 %; lower the emission of greenhouse gases by 20 % and using energy 20 % more efficient by 2020. The residential sector in the European Union accounts for 27% of the un-ion’s final energy use and the EU views decentralized energy generation and heat pumps as important measures in reducing the energy demand in the building sector. LÄS MER
25. Data-Driven Interaction-Aware Behavior Prediction for Autonomous Vehicles
Sammanfattning : Future progress toward the realization of fully self-driving vehicles still re-quires human-level social compliance, arguably dependent on the ability to accurately forecast the behavior of surrounding road users. Due to the inter-connected nature of traffic participants, in which the actions of one agent can significantly influence the decisions of others, the development of behavior pre-diction methods is crucial for achieving resilient autonomous motion planning. LÄS MER