Sökning: "energi nätverk"

Visar resultat 1 - 5 av 98 uppsatser innehållade orden energi nätverk.

1. 1. Optical Communication using Nanowires and Molecular Memory Systems

   Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Synkrotronljusfysik

   Författare :Thomas Kjellberg Jensen; [2024]
   Nyckelord :neuromorphic computing; nanowire; molecular dye; DASA photoswitch; OBIC; Physics and Astronomy;

   Sammanfattning : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. LÄS MER

3. 2. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Khalid El Yaacoub; [2024]
   Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

   Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

4. 3. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Jonathan Benitez; [2023]
   Nyckelord :microcontroller; deep learning; artificial neural network; electromyography; myoelectric prosthesis; Technology and Engineering;

   Sammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER

5. 4. Hydrogen Pipeline Infrastructure Design for Germany in 2045

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Flora Marianne von Mikulicz-Radecki; [2023]
   Nyckelord :Hydrogen Transport Infrastructure; Pipeline Networks; Retrofitting; Infrastructure Planning; Peak Hour Hydrogen Demand; Utilization Rate; Costs of Avoided Emissions; Carbon Neutrality; Infrastruktur för vätgastransport; rörledningsnät; eftermontering; infrastrukturplanering; efterfrågan på vätgas under m;

   Sammanfattning : Germany’s commitment to carbon neutrality by 2045 underscores the need for climate action, with hydrogen’s multiple uses in industry, transport, and energy offering a viable solution. Efficient retrofitting of the extensive natural gas pipeline network can enable hydrogen to be transported from supply to demand centers. LÄS MER

7. 5. Substation Digitalization for Medium Voltage Urban Distribution Networks : A Techno-Economic Analysis

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Diego Molina Mendizábal; [2023]
   Nyckelord :Continuity of supply; incentive scheme; SAIDI; techno-economic analysis; Kontinuitet i försörjningen; incitamentsprogram; SAIDI; teknisk-ekonomisk analys;

   Sammanfattning : High and medium-voltage digital substations play an essential role in the energy transition since they are part of the equipment required to deploy smart grids. With the gradual increase of smart grids, energy systems are becoming more flexible with the growing penetration of renewable energies and distributed energy generation. LÄS MER