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9 articles for “: Power theft”
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Abstract- Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data – A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions, such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 30–37 Read article
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Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller
Abstract: Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 12–23 Read article
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IoT Applications for Meter Security and Energy Efficiency in Smart Grids
Abstract: This research aims to address the drawbacks of conventional energy billing systems by introducing an affordable Prepaid Energy Meter that uses an ATmega328 microprocessor. The discreteness, inaccuracy, high cost, and sluggish processing of the current systems result in inefficiencies in both labor and time. The susceptibility of traditional invoicing techniques to energy and power theft is a serious problem. By operating under the tenet of "Pay first and then use …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 Read article
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IoT Applications for Meter Security and Energy Efficiency in Smart Grids
Abstract: This research aims to address the drawbacks of conventional energy billing systems by introducing an affordable Prepaid Energy Meter that uses an ATmega328 microprocessor. The discreteness, inaccuracy, high cost, and sluggish processing of the current systems result in inefficiencies in both labor and time. The susceptibility of traditional invoicing techniques to energy and power theft is a serious problem. By operating under the tenet of "Pay first and then use …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 · pp. 1–5 Read article
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IoT Based Automatic Fault Detection in Low Transmission Line
Abstract: Electric hazards associated to transmission lines are a big worry when negotiating India's complexelectrical distribution network. According to estimates from the National Crime Records Bureau, aboutone lakh individuals have perished from electrocution in only the last ten years. The average yearlydeath toll increased from approximately 11,000 to 12,500 between 2021 and 2025. According to CEI Electrical. Accident Statistics, it has reached 13,855 by 2023. Transmission line mishaps, especially inthe LT …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 · pp. 8–13 Read article
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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article