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  1. 1

    Financial time series forecasting using twin support vector regression by Gupta, Deepak, Pratama, Mahardhika, Ma, Zhenyuan, Li, Jun, Prasad, Mukesh

    Published 2019
    “…Various interesting financial time series datasets across a wide range of industries, such as information technology, the stock market, the banking sector, and the oil and petroleum sector, are used for numerical experiments. …”
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    Journal Article
  2. 2

    Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications by Chuan, Zun Liang, Tan, Lit Ken, Wee, Angel Chi Chyin, Yim Hin, Tham, Shao, Jie Ong, Jia, Yi Low, Chong, Yeh Sai

    Published 2024
    “…Practically, it offered valuable insights for policymakers to craft efficient regulations, manage the energy sector proactively, and anticipate electricity generation and consumption trends. …”
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    Article
  3. 3

    Feasibility study of industrial waste heat recovery in Singapore by Khairul Azahar Abdul Rashid

    Published 2017
    “…After establishing the piping outline, the Energy use intensity for the different sectors is based on the assumptions that the commercial and residential sector uses the value of 215 kWh/ per annum and 55 kWh/ per annum respectively. …”
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    Final Year Project (FYP)