Sökning: "pcm energi"

Visar resultat 1 - 5 av 229 uppsatser innehållade orden pcm energi.

1. 1. 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

3. 2. Portfolio Strategies Under Different Inflationary Regimes

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Mohit Parkash; Diana Halladgi Naghadeh; [2023]
   Nyckelord :Inflation; Regression Analysis; Portfolio Optimization; Markowitz; Efficient Frontier; Asset Allocation; Portfolio Management; Financial Mathematics; Inflation; Regressionsanalys; Portföljoptimering; Markowitz; Effektiv Front; Tillgångsallokering; Portföljförvaltning; Finansiell Matematik;

   Sammanfattning : In 2023, the topic of ongoing inflation is being discussed almost daily as it has become inevitable. The global economy is facing significant uncertainty and downward pressure as several leading developed nations adopted expansionary fiscal policies and quantitative easing monetary policies during the pandemic. LÄS MER

4. 3. EcoBot : study design and development of a persuasive FSM-free Chatbot for energy saving

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

   Författare :Francesco Milano; [2023]
   Nyckelord :chatbot; context management; persuasive strategies; domestic energy saving; smart appliances; sustainability.; chatbot; kontexthantering; övertygande strategier; hushållsenergibesparing; smarta apparater; hållbarhet;

   Sammanfattning : This study presents the development and evaluation of a conversational agent, EcoBot, designed to inform users about their energy habits and persuade them to save more energy when at home, to help fight climate change and energy waste. To reach this goal, three persuasion strategies were first identified: Feedback, to give users personalized suggestions based on their habits, Goal Setting, to set and track consumption goals for the user’s domestic appliances, and Social Comparison, to compare the user’s consumption with that of others. LÄS MER

5. 4. Energy Consumption of Micro Frontends : A comparison of micro frontends and single-page applications

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

   Författare :Maja Tennander; [2023]
   Nyckelord :Micro frontends; Microservices; Frontend development; Sustainability; Energy consumption; Micro-frontend-applikationer; Mikrotjänster; Frontend-utveckling; Hållbarhet; Energiförbrukning;

   Sammanfattning : To combat climate change, an important part is reducing our energy consumption and the greenhouse gas emissions caused by it. Therefore, it is important that developers get the means to understand how the different development approaches and tools they use affect the ecological footprint of the systems they develop. LÄS MER

7. 5. Algorithmic Approaches to Output Prediction in a Virtual Power Plant

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

   Författare :Johannes Rosing; Oscar Ekhed; [2023]
   Nyckelord :Autoregressive Models; Deep Learning; Machine Learning; Power Output; Random Forest Regression; Strategic Recommendations; Support Vector Regression; Virtual Power Plant;

   Sammanfattning : Virtual Power Plants (VPPs) are an emerging form of technology that allows owners of electricity producing appliances, such as electric vehicles, to partake in a pool of producers of sustainable energy. The Swedish electricity grid owner Svenska Kraftnät hosts a platform where VPPs act as intermediaries between energy producing customers and third party buyers. LÄS MER