GS

GURPINDER SINGH

PUNJAB STAE POWER CO OPRATION LIMITED, Malaviya National Institute of Technology Jaipur, Indian Institute of Technology Dhanbad

Research areas: Engineering · Electrical and Electronic Engineering · Smart Grid Energy Management · Energy Load and Power Forecasting · Building Energy and Comfort Optimization

ORCID iD 0009-0005-4684-9434

Employment

  • PUNJAB STAE POWER CO OPRATION LIMITED Assistant Engineer
    2022 - Present

Education

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

  • Non-Intrusive, Training-Free Wavelet-Based Feature Extraction for Residential Electric Vehicle Charging Detection
    IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3683438
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  • A review on non-intrusive load monitoring
    2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) 2023
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  • Demand Response and Load Profile Analysis in Modern Electricity Systems
    International Conference on Intelligent Computing Techniques For Smart Energy Systems 2023
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  • Energy Disaggregation of Residential House via Event Based Optimization Technique
    2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) 2023
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  • Anomaly detection in short-term load forecasting
    Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2021 2022
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  • Dynamic Electricity Pricing by Modified Levenberg-Marquardt Backpropagation (LMBP) Algorithm
    Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2021 2022
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  • Outlier detection and clustering of household’s electrical load profiles
    Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2021 2022
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  • Profit maximization of a micro-grid with renewable generation using smart household management systems
    Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2021 2022
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  • A review of scheduling techniques and communication protocols for smart homes capable of implementing demand response
    Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2018 2019
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