Blar i Vitenskapelige publikasjoner (TN-IDE) på forfatter "Chakravorty, Antorweep"

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    • The ARTICONF Approach to Decentralized Car-Sharing 

      Saurabh, Nishant; Rubia, Carlos; Palanisamy, Anandakumar; Koulouzis, Spiros; Sefidanoski, Mirsat; Chakravorty, Antorweep; Zhao, Zhiming; Karadimce, Aleksandar; Prodan, Radu (Peer reviewed; Journal article, 2021)
      Social media applications are essential for next-generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance ...

    • ARTICONF decentralized social media platform for democratic crowd journalism 

      Rito Lima, Inês; Filipe, Vasco; Marinho, Claudia; Ulisses, Alexandre; Chakravorty, Antorweep; Hristov, Atanas; Saurabh, Nishant; Zhao, Zhiming; Xin, Ruyue; Prodan, Radu (Peer reviewed; Journal article, 2023)
      Media production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing ...

    • Blockchain Based Transaction System with Fungible and Non-Fungible Tokens for a Community-Based Energy Infrastructure 

      Karandikar, Nikita Rajendra; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2021-05)
      Renewable energy microgeneration is rising leading to creation of prosumer communities making it possible to extract value from surplus energy and usage flexibility. Such a peer-to-peer energy trading community requires a ...

    • Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering 

      Karandikar, Nikita Rajendra; Abhishek, Rockey; Saurabh, Nishant; Zhao, Zhiming; Alexander, Lercher; Prodan, Radu; Chunming, Rong; Chakravorty, Antorweep (Peer reviewed; Journal article, 2021)
      Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand. Flattening the usage curve can result in cost savings, both for the power ...

    • An Ensemble Approach for Multi-Step Ahead Energy Forecasting of Household Communities 

      Mehdipourpirbazari, Aida; Sharma, Ekanki; Chakravorty, Antorweep; Elmenreich, Wilfreid; Chunming, Rong (Peer reviewed; Journal article, 2021)
      This paper addresses the estimation of household communities' overall energy usage and solar energy production, considering different prediction horizons. Forecasting the electricity demand and energy generation of communities ...

    • Household Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures 

      Ai, Songpu; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2019-02)
      The progress of technology on energy and IoT fields has led to an increasingly complicated electric environment in low-voltage local microgrid, along with the extensions of electric vehicle, micro-generation, and local ...

    • Integrating big data and blockchain to manage energy smart grid - TOTEM framework 

      Therese Jose, Dhanya; Holme, Jørgen; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2022)
      The demand for electricity is increasing exponentially day by day, especially with the arrival of electric vehicles. In the smart community neighborhood project, electricity should be produced at the household or community ...

    • 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 ...