Sökning: "Demand Prediction"

Visar resultat 1 - 5 av 181 uppsatser innehållade orden Demand Prediction.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. 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. Forecasting With Feature-Based Time Series Clustering

    Master-uppsats, Jönköping University/Tekniska Högskolan

    Författare :Conrad Tingström; Johan Åkerblom Svensson; [2023]
    Nyckelord :demand forecasting; time series prediction; time series clustering;

    Sammanfattning : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. LÄS MER

  5. 4. Second Life Applications for Degraded EV Batteries : Evaluating Benefits Basedon Remaining Useful Life and Battery Configurations

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Sandberg Elis; [2023]
    Nyckelord :;

    Sammanfattning : This thesis explores the potential of second-life electric vehicle batteries, which are no longer suitable for electro-mobility, to provide energy storage solutions. The study iden- tifies two potential applications for second-life batteries: charging stations and residential PV energy storage systems. LÄS MER

  7. 5. Non-proliferation and safeguards aspects of SMR’s in Sweden : A study on the future electricity demand in Sweden and the implications on nuclear safeguards from the deployment of SMRs in Sweden

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad kärnfysik

    Författare :Waldemar Andersson; [2023]
    Nyckelord :SMR; Small modular reactor; Safeguards; Non-proliferation;

    Sammanfattning : This project aims to investigate and analyze crucial aspects related to the deployment of Small Modular Reactors (SMRs) in Sweden. SMRs have risen as a competitor to large-scale nuclear power plants with cost-competitiveness and cogeneration purposes in focus. LÄS MER