Sökning: "Aggregating"
Visar resultat 21 - 25 av 99 uppsatser innehållade ordet Aggregating.
21. Precipitation Nowcasting using Deep Neural Networks
Master-uppsats, KTH/FysikSammanfattning : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. LÄS MER
22. EBSD Investigation of High-Temperature Magnetite from Apatite-Iron-Oxide Deposits: Implications for the Formation of Giant Kiruna-Type Deposits
Master-uppsats, Uppsala universitet/Mineralogi, petrologi och tektonikSammanfattning : European iron production is to a large extent dependant on massive Kiruna type apatite-iron ore deposits. In this contribution, high-temperature magnetite samples from apatite-iron-oxide deposits are investigated by means of Electron Backscattered Diffraction. However, the origin of Kiruna-type deposits is still unresolved. LÄS MER
23. The Optimal Bidding Strategy of a Wind-Biogas-Hydrogen Hybrid System
Magister-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : The growing penetration of variable renewable energy has brought all-round challenges to the current power system, no matter for the grid infrastructure, market design or the power producers. The positive and negative externalities caused by the market participators are to be finer priced and a significant amount of flexibility is to be added to the system, in order to counter these problems and facilitate energy transition. LÄS MER
24. Decomposing the Consumption Response to Monetary Policy Shocks in Australia
D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : Does monetary policy affect households differently depending on their position on the income distribution? If so, what drives the differences? This paper attempts to answer these questions by decomposing changes in consumption following a monetary policy shock into several direct and indirect channels of transmission. Although direct channels of transmission are the most important in traditional representative agent models, the indirect channels are dominant when households are heterogeneous. LÄS MER
25. Data Build Tool (DBT) Jobs in Hopsworks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Feature engineering at scale is always critical and challenging in the machine learning pipeline. Modern data warehouses enable data analysts to do feature engineering by transforming, validating and aggregating data in Structured Query Language (SQL). LÄS MER