Article
Computer Science, Information Systems
Kiwoong Kwon, Sanghak Lee, Sanghun Kim
Summary: This article proposes an artificial intelligence-based home energy management system (AI-HEMS) that improves energy efficiency and resident satisfaction through prediction mechanisms and intelligent heater control strategies.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Green & Sustainable Science & Technology
Abdulaziz H. Alghtani, Vineet Tirth, Ali Algahtani
Summary: Smart grid is an emergent technology that provides effective solutions for increasing global power demand, integrating smart devices with smart home through demand response programs. This article proposes a LODPA-SMEMS model for energy management in smart homes, aiming to achieve optimal management of energy usage, improve energy efficiency, and enhance the sustainability of IoT-enabled smart homes.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Green & Sustainable Science & Technology
Muhammad Babar, Akmal Saeed Khattak, Mian Ahmad Jan, Muhammad Usman Tariq
Summary: The rise of IoT has led to the development of smart cities, where energy management and efficient data processing are crucial for sustainability. A proposed framework in this article focuses on energy efficiency of IoT devices and data analysis for cities, showcasing promising results in terms of energy management and service optimization.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Chemistry, Analytical
Giovanni Cicceri, Giuseppe Tricomi, Luca D'Agati, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Summary: The Internet of Things (IoT) is transforming various domains, including smart energy management. The concept of energy-aware distributed cyber-physical systems (DCPSs) integrates non-functional requirements with attributes for energy consumption. This research investigates and develops energy-aware architectural models and technologies for next-generation IoT-extended DCPSs, with a focus on optimizing renewable energy communities.
Article
Computer Science, Information Systems
Hongwei Luo, Chao Wang, Hao Luo, Fan Zhang, Feng Lin, Guoai Xu
Summary: This article introduces a gateway-based 2 factor authentication (G2F) framework to enhance the security of IoT device management. By utilizing a hardware token to interact with the local gateway node, G2F ensures user authentication security and allows for multiple simultaneous operations. Through implementation on Alibaba Cloud, G2F demonstrates the ability to protect against malicious attacks with high authentication efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Chemistry, Analytical
Cristina Stolojescu-Crisan, Calin Crisan, Bogdan-Petru Butunoi
Summary: The paper introduces a system called qToggle, which achieves multiple home automations by leveraging a flexible and powerful API. The system mainly uses devices with network connections as sensors and actuators, which can be controlled through a smartphone application.
Article
Green & Sustainable Science & Technology
Xiangdong Zhang, Gunasekaran Manogaran, BalaAnand Muthu
Summary: This article discusses the planning and evaluation methods for smart city energy systems, introducing the creation process of complex systems using diverse energy technologies network.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Computer Science, Information Systems
Ning Zhang, Chenfei Zhang, Dengpan Wu
Summary: This article uses cloud computing, big data, mobile Internet technologies to build a physical health smart management system, which can reduce operating costs, improve work efficiency, and provide new ideas and methods for physical fitness assessment without being affected by individual assessment methods and results.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
M. Usman Saleem, M. Rehan Usman, Mustafa Shakir
Summary: The rise in population and new devices has led to increased energy consumption, posing great challenges for energy management at the consumer side. Smart meters have evolved from simple energy measuring tools to main resources in energy management systems, offering various advantages. The Internet of Things is emerging as a key partner in the energy industry, facilitating effective resource management.
Article
Psychology, Multidisciplinary
Xu Wu, Qian Zhang
Summary: This article proposes a control method and system research for smart homes based on emotional recognition of the Internet of Things to address pension issues caused by aging. Through detailed analysis and research, the article introduces the necessity, feasibility, and methods for realizing speech emotion recognition technology in smart families. It also discusses related problems and methods for acquiring emotional speech data, as well as the design and establishment of an intelligent family emotional speech database.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Zhiyi Zhang, Tianyuan Yu, Xinyu Ma, Yu Guan, Philipp Moll, Lixia Zhang
Summary: The rapid deployment of smart homes controlled by remote servers has raised concerns about security and privacy. In this article, the design of Sovereign, a home Internet of Things (IoT) system framework that gives end users complete control over their home IoT systems, is described. Sovereign enables direct, secure device-to-device communication and utilizes semantic names to construct usable security solutions.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Imed Ben Dhaou
Summary: The demand response program is a crucial aspect of the smart grid, aiming to reduce peak demand, enhance efficiency, and ensure reliability. By utilizing smart meters and smart plugs, this paper proposes an architecture for a home-energy-management system based on the fog-computing paradigm. The system demonstrates high accuracy in identifying appliances, with the smart meter and smart plug exceeding 97% and 99% accuracy respectively.
Article
Electrochemistry
Manh-Kien Tran, Satyam Panchal, Tran Dinh Khang, Kirti Panchal, Roydon Fraser, Michael Fowler
Summary: This article discusses the concept and design of cloud-based smart battery management systems (BMSs) and examines their functionality, usability, and benefits for future battery applications. Cloud-based smart BMSs can overcome the limitations of current BMSs in terms of computational capability and data storage, thus improving the reliability and overall performance of LIB systems.
Article
Green & Sustainable Science & Technology
Wonyoung Choi, Jisu Kim, SangEun Lee, Eunil Park
Summary: The Internet of Things has revolutionized various domains in society, with smart homes being one of the most significantly affected areas. Research findings show notable improvements and developments in the smart home-Internet of Things domain, providing valuable insights for future directions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Mathematics, Interdisciplinary Applications
Longxing Chen, Ping Han
Summary: This article analyzes the current energy efficiency management in buildings and introduces an intelligent power distribution monitoring system based on the Internet of Things technology to address installation difficulties, high software development costs, upgrade challenges, long debugging cycles, and closed systems. By utilizing IoT and data mining technologies, the platform aims to collect and analyze energy consumption information to support decision-making and formulation of energy-saving plans.
Article
Computer Science, Artificial Intelligence
Asmaa H. Rabie, Ali M. Eltamaly
Summary: Online optimization applications require fast convergence without sacrificing accuracy. The gray wolf optimization (GWO) algorithm still needs improvement to meet these requirements. The nested improved GWO (NEST-IGWO) algorithm is used to determine the optimal control parameters for IGWO and significantly improves convergence time and accuracy, especially in online control systems.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Energy & Fuels
Adel O. Baatiah, Ali M. Eltamaly, Majed A. Alotaibi
Summary: This paper introduces a MPPT method that dynamically changes the swarm size of Particle Swarm Optimization (PSO) algorithm to improve the performance of photovoltaic (PV) systems. This method can quickly find the global maximum power point even under dynamic variations of environmental conditions.
Article
Energy & Fuels
Ali M. M. Eltamaly, Mohamed A. A. Ahmed
Summary: With the increasing energy consumption and number of prosumers, next-generation energy management systems are being impacted by P2P energy trading, which allows prosumers to locally sell and purchase energy. However, large-scale deployment of P2P energy trading still faces technical challenges in both physical and virtual layers. This study investigates the scalability and performance of the communication infrastructure supporting P2P energy trading on a community microgrid, using different communication technologies to assess network models.
Article
Energy & Fuels
Ali M. Eltamaly, Zeyad A. Almutairi, Mohamed A. Abdelhamid
Summary: With the rapid development of photovoltaic (PV) energy systems, there is a need to improve the energy output. Under partial shade conditions, the output power and array voltage of PV modules have multiple peaks, which can lead to reduced power and efficiency. To address this, the dandelion optimization algorithm (DOA) is introduced and compared to other modern metaheuristic optimization algorithms. The results show significant performance improvement, with DOA achieving a convergence time of 0.4s and zero failure rate compared to other algorithms under study.
Article
Chemistry, Analytical
Patricia Franco, Felipe Condon, Jose M. Martinez, Mohamed A. Ahmed
Summary: Seniors face various challenges as they age, and continuous remote monitoring is seen as a solution to provide quality care. The proposed system, using smart energy data and activity recognition, utilizes machine learning techniques to identify appliance usage and behavior patterns of older people. It has potential applications in health management and energy optimization.
Article
Energy & Fuels
Ali M. Eltamaly
Summary: This study presents the challenges and solutions of using metaheuristic optimization algorithms as maximum power point trackers for photovoltaic systems. It also introduces benchmark shading patterns for evaluation purposes, addressing the issue of performance loss under partial shading conditions.
Article
Green & Sustainable Science & Technology
Felipe Condon, Patricia Franco, Jose M. Martinez, Ali M. Eltamaly, Young-Chon Kim, Mohamed A. Ahmed
Summary: This study aims to develop and implement a peer-to-peer energy trading platform that combines IoT and blockchain technologies, allowing local energy trading between consumers and prosumers within a microgrid. The proposed platform includes an IoT-cloud home energy management system and a blockchain framework to ensure secure and transparent energy trading. Through the use of smart contracts and an oracle network, participants can trade energy in an open auction and settle payments using external energy data. The platform's performance is evaluated through a testbed scenario using real-world energy data, demonstrating the feasibility of the proposed architecture for local energy trading.
Article
Construction & Building Technology
Nina Hormazabal, Patricia Franco, David Urtubia, Mohamed A. Ahmed
Summary: This study proposes a data-driven approach using a smart avatar to evaluate thermal comfort in Chile. The ANSI/ASHRAE 55-2020 standard is used to calculate the comfort index, with inputs including temperature, humidity, airspeed, metabolic rate, and clothing, using a random forest (RF) regressor. Long short-term memory (LSTM) is used for PMV forecasting and decision-making, while a rule-based algorithm emulates user behavior. The RF regressor achieved an RMSE of 0.54 and an MAE of 0.28, while the LSTM had an RMSE of 0.051 and an MAE of 0.025. The proposed system successfully saved energy in different cities in Chile.
Article
Multidisciplinary Sciences
Ali M. Eltamaly, Asmaa H. Rabie
Summary: A novel optimization algorithm called musical chairs algorithm (MCA) is proposed in this paper, which achieves shorter convergence time and lower failure rate compared to other optimization algorithms. This algorithm utilizes multiple search agents that are gradually reduced by eliminating the worst solutions, inspired by the musical chairs game.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Ali M. Eltamaly
Summary: This paper presents a novel and accurate piecewise modeling of batteries for each charging and discharging operation based on real-world operational conditions, which is used to calculate hourly aging and its impact on energy costs. The optimal parameters' values of the battery model and the appropriate size of autonomous hybrid RES are determined using the musical chair algorithm (MCA), resulting in reduced convergence time and improved accuracy.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
