Essays about: "energy saving in networks"

Showing result 1 - 5 of 41 essays containing the words energy saving in networks.

  1. 1. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Azin Farzam; [2024]
    Keywords : Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

    Abstract : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. READ MORE

  2. 2. 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. 3. Towards Cloud Native Context Aware Autonomous Robotics for IoT Applications

    University essay from Luleå tekniska universitet/Datavetenskap

    Author : Daniel Olave; [2023]
    Keywords : ;

    Abstract : Sensor networks are widely deployed around the world to measure different environmental variables over time, this general acceptance lowered the cost of installing such systems, but sometimes the requirement of the measuring makes it expensive or impossible to do. For instance, deploying sensors in a hard-to-reach area or just measuring for a brief short of time. READ MORE

  4. 4. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks

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

    Author : Qinglong He; [2022]
    Keywords : Cell-free massive MIMO; multi-objective optimization; deep reinforcement learning; AP switch ON OFF; energy efficiency; Cellfri massiv MIMO; multiobjektiv optimering; djup förstärkningsinlärning; AP switch ON OFF; energieffektivitet;

    Abstract : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. READ MORE

  5. 5. A case study on the integration of excess heat from Data Centres in the Stockholm district heating system

    University essay from KTH/Kraft- och värmeteknologi

    Author : Arianna Tofani; [2022]
    Keywords : heat recovery; district heating; circular economy; data centres; excess heat; värmeåtervinning; fjärrvärme; cirkulär ekonomi; datacenter; överskottsvärme;

    Abstract : The data centre industry is becoming more and more important due to the rapid increase of digitalisation in our society. However, data centres are large electricity consumers since electricity is needed for both the Information Technology (IT) equipment and the cooling systems, as a certain temperature must be maintained in the server rooms in order to guarantee service operations. READ MORE