Smart energy meters for energy conservation &amp;amp; minimizing errors

Ali, Syed Shahbaz; Maroof, Madiha; Hanif, Sidrah

doi:10.1109/pedes.2010.5712393

Cited by 11 publications

(4 citation statements)

References 10 publications

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“…In [5], a smart building infrastructure was established with the smart meter receiving the energy cost of the appliances. In [3][4], smart meters reduced energy costs and minimized power loss, helping to distribute electricity and energy supply that meet consumers' requirements. In [1], the Heat Ventilation and Air Conditioning (HVAC) systems were examined for various home loads.…”

Section: Related Workmentioning

confidence: 99%

“…It is a smart and energy-efficient technology that deploys smart devices, such as smart meters, Area Energy Management Servers (AEMS), etc. Some BEMSs also include Dynamic Pricing (DP) and various cost systems for peak-and off-peak-hour scheduling [1][2][3][4]. A BEMS is a system or service that can monitor, regulate, or analyze energy use in homes.…”

Section: Introductionmentioning

confidence: 99%

“…The prevalent technologies are wind energy, hydropower, solar energy, geothermal energy, bioenergy, and heat pumps. Due to the fluctuating energy output from RE sources [3][4], a BEMS must buy or sell energy during energy shortages or surplus periods. When making these decisions, it is crucial to have precise estimates of the energy output of numerous RE sources and the consumption of various home appliances.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Home Energy Management with IoT and Blockchain

Jaber Al-Reshidi,

Ramadan,

Aboshosha

et al. 2024

Eng. Technol. Appl. Sci. Res.

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As a result of the exponential increase in energy consumption, energy shortages, and augmented energy costs have become a significant problem for households. Solar cells are used in many homes and/or buildings to address these problems. However, managing renewable energy sources in homes can be difficult due to the irregular nature of renewable energy production. Internet of Things (IoT) devices can provide real-time data on energy production and consumption, offering a promising solution to this issue. The current study proposes a framework based on IoT and blockchain technology for home energy management by predicting future energy consumption patterns and optimizing energy use in real time. The blockchain module facilitates peer-to-peer energy trading between renewable energy-generating homeowners and consumers. The proposed framework was tested employing a dataset based on smart homes with solar panels and wind turbines. The results manifest a reduction in energy costs and a possible 30% increase in their traditional gain.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Real-Time Home Energy Management with IoT and Blockchain

Jaber Al-Reshidi,

Ramadan,

Aboshosha

et al. 2024

Eng. Technol. Appl. Sci. Res.

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“…The smart meter will stop to function, if a person tries to remove all screws. In [4] and [5], a current transformer (CT) and light dependent resister (LDR) are added in the electromechanical energy meter in order to prevent tampering. This solution can effectively defeat the tampering issues.…”

Section: Introductionmentioning

confidence: 99%

Experimental performance analysis of current bypass anti-tampering in smart energy meters

Tangsunantham

Ngamchuen

Nontaboot

et al. 2013

2013 Australasian Telecommunication Networks and Applications Conference (ATNAC)

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In this paper, we have proposed a current-bypass anti-tampering algorithm for single-phase and three-phase smart meters by using a single chip solution from Analog Devices together with the proper threshold of the unbalance current difference between phase and neutral lines. Essentially, the current bypass anti-tampering algorithm is implemented to help the smart meter overcoming the tampering events of bypassing the main line and load line for both single-phase and three-phase power systems. Practically experimental results show that the proposed algorithm offers a wide dynamic range of tampering event detection, a low-probability of false detection, and a fast speed of tampering detection. Furthermore, in the case of small energy measurement, the proposed algorithm still yields a precise and accurate tampering detection capability, making it suitable for real application.

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