Norford, L.K., and Leeb, S.B. (1996) Non-Intrusive Electrical Load Monitoring in Commercial Buildings Based on Steady-State and Transient Load-Detection Algorithms. Energy and Buildings, 24, 51-64.
https://doi.org/10.1016/0378-7788(95)00958-2

has been cited by the following article:

• TITLE: Machine Learning: An Overview

  AUTHORS: Mohd Izhan Mohd Yusoff

  KEYWORDS: Machine Learning, Artificial Intelligence, SA2VING, Non-Intrusive Load Monitoring, Transportation Pricing System, System Dynamics, Dynamic Pricing

  JOURNAL NAME: Open Journal of Modelling and Simulation, Vol.12 No.3, June 26, 2024

  ABSTRACT: Machine learning is an Artificial Intelligence (or AI) application, an idea that came into being by giving machines access to data and letting them learn by themselves. AI has been making headlines, especially since ChatGPT was introduced. Malaysia has taken many significant steps to embrace and integrate the technology into various sectors. These include encouraging large companies to build AI infrastructure, creating AI training opportunities (for example, the local media reported Microsoft and Google plan to invest USD 2.2 billion and USD 2 billion, respectively, in the said activities), and, as part of AI Talent Roadmap 2024-2030, establishing AI faculty in one of its public universities (i.e., “Universiti Teknologi Malaysia”) leading the way in the integration and teaching of AI throughout the country. This article introduces several products developed by the author (for the energy and transportation industries) and recommends their improvement by incorporating Machine learning.