Blar i Department of Electrical and Computer Engineering (TN-IDE) på forfatter "Chakravorty, Antorweep"

Viser treff 21-27 av 27

    • Predictive maintenance with industrial sensor data 

      Sakarvadia, Manisha Pranav (Master thesis, 2023)
      The Norwegian Ministry of Petroleum and Energy Commissions report shows that the government is making a large step closer to its ambition of allocating regions for 30,000 MW offshore wind via way of means of 2040. According ...

    • Refactoring Monolithic Application into Cloud-Native Architecture 

      Shahid, Hafiz (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)
      Cloud Native is an approach, using which, applications are developed and run in such a way as to exploit and use the maximum features of cloud computing. Going cloud native does not just mean deploying your code to the ...

    • Secure and Privacy Driven Energy Data Analytics 

      Jose, Dhanya Therese (PhD thesis UiS;, Doctoral thesis, 2022-11)
      Renewable resources are the main energy sources in a smart grid project. In order to ensure the smooth functioning of the smart grid, Information and Communication Technologies (ICT) need to be utilised efficiently. The ...

    • Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis 

      Mehdipourpirbazari, Aida; Farmanbar, Mina; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2020-04)
      Short-term load forecasting ensures the efficient operation of power systems besides affording continuous power supply for energy consumers. Smart meters that are capable of providing detailed information on buildings ...

    • Smart Meter Based Load Forecasting for Residential Customers Using Machine Learning Algorithms 

      Resulaj, Redjol (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-12)
      The focus of this thesis is the use of machine learning algorithms to perform next step short term load forecasting on fifty five households in Stavanger, Norway. A dataset containing electricity consumption data for more ...

    • Social Media Influence Analyzer 

      Guniem, Mohammed (Master thesis, 2021)
      In a time where online social media has a significant influence on both individuals and groups of people in our modern societies, there is a need to have a digital tool that helps gather and construct data from online ...

    • Use of machine learning algorithms to predict well barrier elements and envelopes in drilling operations 

      dos Anjos, Daiana (Master thesis, 2021)
      Digitalization is a concept that have been widely approached in the oil and gas industry in the recent years. The amount of information generated in this industry is vast and the operation requirements are strict. However, ...