Smart Home Energy Management System—A Multicore Approach

Ranjith, R.; Prakash, N. Krishna; Vadana, D. Prasanna; Pillai, Anju S.

doi:10.1007/978-981-13-2673-8_38

Cited by 14 publications

(5 citation statements)

References 13 publications

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“…Enhancing the performance of sustainable energy management … (Mule Pala Prasad Reddy) 1317 solved in a short amount of time using a mixed-integer non-linear programming problem. Although demand response and customer comfort could impact both consumer comfort and energy cost, in articles [10], a constant electricity price was assumed independent of the usage time. To reduce the quantity of energy used in smart homes, various studies have explored artificial intelligence-based solutions.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the performance of sustainable energy management of buildings in smart cities

Prasad Reddy,

Karthik,

Kumar

et al. 2024

IJEECS

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Energy utilization has been the most influential parameter in recent decades, especially in the smart city model. The energy management system has been a more attractive research problem due to its utility, ability, and applications. This paper has an objective that the article discusses innovative energy management methods for sustainability and highlights the potential for integrated smart energy sources. The discussion also touches on the understanding of energy management and production, various storage systems, and their potential future applications. This paper explores challenges in sustainable smart energy management, focusing on methodologies like smart energy systems, PV calculations, electric grid models, and energy management strategies in smart cities. The passive infrared receiver (PIR) sensor has been used in real-time energy management systems to integrate these methodologies into the city's infrastructure. The energy management design aims to coordinate electrical appliances such as fans and lights to minimize energy consumption. The article proposes new energy management and security techniques based on data sources to enhance city intelligence, adaptability, and sustainability by reducing human involvement in controlling electrical appliances in residential buildings. The proposed design and development system optimizes energy utilization more efficiently and effectively than conventional systems, meeting real-time energy management objectives.

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Section: Introductionmentioning

confidence: 99%

Enhancing the performance of sustainable energy management of buildings in smart cities

Prasad Reddy,

Karthik,

Kumar

et al. 2024

IJEECS

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“…Kulkarni and Chitre [32] designed, implemented, and tested it to manage energy in an IoT-connected home. Ranjith et al [33] have proposed engineered a multicore brain for smart home energy, optimizing efficiency, performance, and reliability. Sultan et al [34] proposed and implemented a system that uses intelligent agents to schedule and manage appliances seamlessly.…”

Section: Introductionmentioning

confidence: 99%

“…Based on previous research, EMS has been used in various sectors; including industrial applications [3,4,[5][6][7][8][9][10][11][12][13][14], urban [15][16][17][18][19][20][21][22][23][24][25][26][27], residential [28][29][30][31][32][33][34][35][36][37], commercial buildings [38][39][40][41][42][43][44][45][46]. However, there is still very little research related to the current state of the art in EMS with a focus on the integration of energy efficiency and renewable energy.…”

Section: Introductionmentioning

confidence: 99%

Recent Research Progress on Sustainable Energy Management System Based on Energy Efficiency and Renewable Energy

Yandri,

Pramono,

Sihombing

et al. 2024

BIO Web Conf.

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Energy Management Systems (EMS) have become increasingly important in efforts to address global energy challenges, such as increasing energy demand and climate change. EMS can be used to improve energy efficiency; reduce greenhouse gas emissions; and increase energy security. The purpose of the research is to review the latest research progress which focuses on EMS from various sectors based on energy efficiency and renewable energy. This research method involves four steps: selecting the EMS topic, searching for related papers using keywords on Google Scholar; summarizing and categorizing the obtained papers, and creating a table for easy understanding of the collected research; followed by analysis and discussion. As a result, recent research progress on sustainable EMS has been discussed, emphasizing categories like IoT; cloud data; controllers; reinforcement learning; renewable energy sources; energy storage; energy trading; and dashboards. The focus in EMS studies lies on IoT devices; controllers; reinforcement learning; and renewable energy; with less emphasis on energy trading and dashboards. The primary objective is to facilitate energy use tracking for users in various sectors, enabling them to assess efficiency and cost-effectiveness. This review facilitates energy tracking across diverse sectors for users, enabling evaluation of efficiency and cost-effectiveness.

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“…Ranjith et al [1] compared single core and multicore processor for the Home Energy Management System (HEMS) in term of effective cost and performance by utilizing multicarrier energy resources. The system contains solar PV, battery bank, utility supply and load.…”

Section: Introductionmentioning

confidence: 99%

Two-Cored Energy Management System for Industrial Microgrid

Ali¹,

Malik

2021

Mehran Univ. res. j. eng. technol.

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Energy systems have to deal with energy cost and environmental concerns such as greenhouse gas emission. Industrial buildings considered as Microgrid (μG) with heavy load worsen these issues even more. Further, cyber-attacks on the data communication channel between utility and customer is also a potential threat and may alter the data as well as the confidentiality of it, resulting in an inaccurate result. To address these problems, this paper proposes two-cored Building Energy Management System (BEMS) for Industrial Microgrid (IμG) with first cored termed as the energy layer concentrating on energy cost and emission reduction, while second cored termed as security layer provides the un-authorized intrusion detection and prevention system (IDS/IPS) for cyber secure communication of data. The μG under consideration contains national grid, Natural Gas (NG), solar Photovoltaic (PV) as input carriers; electrical energy at output ports; electric vehicle (EV) fleet; battery bank; solar PV panel as non-dispatchable Distributed Energy Resources (DERs) and Internal Combustion Engine (ICE), Fuel Cell (FC) and Micro Turbine (MT) as dispatchable DERs. Energy layer optimization problem has been solved in MATLAB using flower pollination algorithm for µG energy consumption cost and emission reduction. To develop and analyze the security layer, Linux operating system based Smooth-sec software has been used. Devised security layer continuously monitors the network traffic between customers and BEMS as well as BEMS and utility server. During monitoring it distinguish the licensed user or malicious attacker to detect and prevent possible internal and/or external intrusions in the communication channel. Results show that EMS reduces energy cost and emission in addition to cyber security from internal threats. Proposed two-cored control may be manufactured for utilities to realize its benefits for industrial customers in a smart energy distribution system. Keywords: Demand Response, Energy Management System, Flower

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Smart Home Energy Management System—A Multicore Approach

Cited by 14 publications

References 13 publications

Enhancing the performance of sustainable energy management of buildings in smart cities

Enhancing the performance of sustainable energy management of buildings in smart cities

Recent Research Progress on Sustainable Energy Management System Based on Energy Efficiency and Renewable Energy

Two-Cored Energy Management System for Industrial Microgrid

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