Sökning: "Energy Demand Prediction"

Visar resultat 1 - 5 av 53 uppsatser innehållade orden Energy Demand Prediction.

  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. 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

  4. 3. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Emelie Sjökvist; [2023]
    Nyckelord :;

    Sammanfattning : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. LÄS MER

  5. 4. Evaluating the Efficient Grid Utilisation Incentive : Through the design of the load flow indicator

    Uppsats för yrkesexamina på avancerad nivå, Mälardalens universitet/Industriell ekonomi och organisation

    Författare :Chris-Antony Ndayisaba; Isabelle Sammils; [2023]
    Nyckelord :Incentive regulation; DSO revenue cap; Load flow incentive; Efficient grid utilization; Even load; Demand side management; Weighted load factor; Utilization factor; Elnäts reglering; DSO intäktsram; jämnbelastning incitament; Effektivt nätutnyttjande; Laststyrning; viktad medellastfaktor; utnyttjningsgrad;

    Sammanfattning : The Swedish energy markets inspectorate (Ei) regulates the Swedish DSOs revenue cap, to ensure reasonable prices, efficiency, and quality of supply towards the end users. In combination with directives from the European Union and Sweden's environmental goal, Ei implemented efficient grid utilization to the DSOs revenue cap in 2016. LÄS MER

  7. 5. Price policy estimation for Demand Response of heat-pump-based loads

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

    Författare :Carlos Eduardo Gil Simancas; [2023]
    Nyckelord :Differential Evolution; Electricity Grids; Flexibility Services; Heat-pumps; Heterogeneous Loads; Implicit Demand Response; Optimization; Differentiell utveckling; elnät; flexibilitetstjänster; heterogena belastningar; implicit efterfrågesvar; optimering; värmepump;

    Sammanfattning : The electricity grids have become a key player in the society. An increased usage of electricity is both a result from the more electrified society, but also as a main solver in reaching the climate goals by reducing emissions. LÄS MER