Sökning: "Network loading"
Visar resultat 6 - 10 av 50 uppsatser innehållade orden Network loading.
6. Latency Aware SmartNIC based Load Balancer (LASLB)
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In the 21th century, we see a trend in which CPU processing power is not evolving at the same pace as it did in the century before. Also, in the current generation, the data requirements and the need for higher speed are increasing every day. This increasing demand requires multiple middlebox instances in order to scale. LÄS MER
7. Allowing more solar power connected to the grid, using thermal and ageing models of distribution transformers.
Master-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : Increasing amounts of solar power connected to the low-voltage network will adversely affect the performance of the network. The two impacts that will most often set the limit are overvoltage with the customers and overloading the distribution transformer. LÄS MER
8. Analysis of Market-Based Flexibility Services- An Evaluation of Flexible Resources’ Indirect Impact on Network Congestion.
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Miljö- och energisystemSammanfattning : Capacity shortages in electricity grids can impose significant costs on society due to missed investments in industry. Due to limited profit opportunities and long lead times, grid reinforcements are not a viable solution to the problem, which must therefore be prevented through efficient use of existing grid resources. LÄS MER
9. Effect of strain rate on continuum and pre-cracked polymer failure
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för maskinteknikSammanfattning : The main intention of this thesis work was to investigate the effect of strain rate on continuum and pre-cracked polymer failure. Low-Density Polyethylene (LDPE) was chosen to study experimentally and numerically. In order to cover wide range of strain rates, four specific strain rates were selected for the uniaxial tensile tests. LÄS MER
10. PREDICTION OF WIND TURBINE BLADE FATIGUE LOADS USING FEED-FORWARD NEURAL NETWORKS
Master-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : In recent years, machine learning applications have gained great attention in the wind power industry. Among these, artificial neural networks have been utilized to predict the fatigue loads of wind turbine components such as rotor blades. LÄS MER