Essays about: "information system useful for energy"

Showing result 16 - 20 of 55 essays containing the words information system useful for energy.

  1. 16. Autoencoder Compression in High Energy Physics

    University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Lunds Tekniska Högskola

    Author : Sten Åstrand; [2022]
    Keywords : High energy physics; LHC; ATLAS; hadron jet; machine learning; autoencoder; dimensionality reduction; artificial intelligence; data compression; Physics and Astronomy;

    Abstract : Situated in Geneva, Switzerland, the Large Hadron Collider is largest particle accelerator in the world, and as such, its operation carries with it some of the greatest technical challenges ever faced. Among them are the huge demands put on data storage capacity by experiments in particle physics, both in terms of rate and volume of data. READ MORE

  3. 17. Towards a Data-Driven Approach to Ground-Fault Location in Distribution Power System using Artificial Neural Network

    University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Author : Antoine Dupuis; [2021]
    Keywords : Ground-Fault Location; Distribution power System; Artificial Neural Network; Machine Learning; Distributed Generation; Wavelet Transform;

    Abstract : Motivated by the need for less polluting energy production, the recent increase in renewable electricity production is reshaping classical power systems. Initially unidirectional and constant power flow becomes multi-directional and dynamic. As one of the many consequences, classical power system fault location methods might become outdated. READ MORE

  4. 18. Calibration in Urban Building Energy Modeling

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Naeim Rashidfarokhi; [2021]
    Keywords : ;

    Abstract : This thesis work tries to study the annual calibration process for building performance simulations. The bottom-up modelling is a tool to predict energy consumption in Urban Building Energy Modeling (UBEM) which is a common approach to find the most appropriate retrofitting strategies or to monitor energy use for a group of buildings (an archetype), a neighbourhood or a city. READ MORE

  5. 19. Recent Progress on the Black Hole Information Paradox

    University essay from Lunds universitet/Teoretisk partikelfysik - Geonomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Author : Eivind Hilmen Jørstad; [2021]
    Keywords : Black Holes; Hawking Radiation; Entanglement Entropy; Black Hole Information Paradox; Dilaton Gravity; Quasiparticles; Physics and Astronomy;

    Abstract : The black hole information paradox is of central importance in the study of quantum gravity. The paradox states that quantum fields surrounding a black hole behave in ways that run into conflict with the unitarity of quantum mechanical time evolution. READ MORE

  6. 20. Indoor Positioning and Machine Learning Algorithms

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Raavi Uttarwar; Julián Valentín; [2021]
    Keywords : Indoor Positioning; Machine Learning; Bluetooth Low Energy; Technology and Engineering;

    Abstract : This master thesis focuses around improving the efficiency and accuracy of existing indoor positioning systems with the help of Machine Learning (ML). Our work is based on Bluetooth Low Energy (BLE) v5.1. Position estimation is currently being carried out using the Least-Squares (LS) method in the framework. READ MORE