Essays about: "Energy Demand Prediction"

Showing result 1 - 5 of 46 essays containing the words Energy Demand Prediction.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Khalid El Yaacoub; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Linköpings universitet/Fordonssystem

    Author : Sandberg Elis; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för fysik

    Author : Emelie Sjökvist; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from Mälardalens universitet/Industriell ekonomi och organisation

    Author : Chris-Antony Ndayisaba; Isabelle Sammils; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE