Smart Home Monitoring System and Prediction of Power Consumption

Gladence, L. Mary; Sangeetha, K K; Soundharya, S; Revathy, S.; Selvan, Mercy Paul

doi:10.1109/iccmc53470.2022.9753722

Cited by 3 publications

(1 citation statement)

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“…Investment plans in this area are expected to be driven by technological breakthroughs and the increased commercialization of novel products. An increased need for EMS in the industrial sector, particularly in manufacturing as well as power and energy sectors, for the assessment and real-time tracking of energy consumption patterns is expected to drive market expansion throughout the forecast timeframe [12][13][14]. The Figure 1 shows the market revenue for energy management systems (EMS) in the United States, by product, from 2014 to 2024 (USD Million) as per the market analysis report published by Grand View Research [13].…”

Section: Introductionmentioning

confidence: 99%

Computational Study of Security Risk Evaluation in Energy Management and Control Systems Based on a Fuzzy MCDM Method

Alhakami

2023

Processes

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Numerous cyberattacks on connected control systems are being reported every day. Such control systems are subject to hostile external attacks due to their communication system. Network security is vital because it protects sensitive information from cyber threats and preserves network operations and trustworthiness. Multiple safety solutions are implemented in strong and reliable network security plans to safeguard users and companies from spyware and cyber attacks, such as distributed denial of service attacks. A crucial component that must be conducted prior to any security implementation is a security analysis. Because cyberattack encounters in power control networks are currently limited, a comprehensive security evaluation approach for power control technology in communication networks is required. According to previous studies, the challenges of security evaluation include a power control process security assessment as well as the security level of every control phase. To address such issues, the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) based on multiple criteria decision-making (MCDM) is presented for a security risk assessment of the communication networks of energy management and control systems (EMCS). The methodology focuses on quantifying the security extent in each control step; in order to value the security vulnerability variables derived by the protection analysis model, an MCDM strategy incorporated as a TOPSIS is presented. Ultimately, the example of six communication networks of a power management system is modelled to conduct the security evaluation. The outcome validates the utility of the security evaluation.

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Section: Introductionmentioning

confidence: 99%