A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique was to maintain a balance between user comfort and energy requirements such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gap in the literature is due to the advancements in the technology and drawbacks of the optimization algorithms and the introduction of different new optimization algorithms. Further, many newly proposed optimization algorithms which have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. The detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes

Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoT-aided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems

IoT-based digital twin for energy cyber-physical systems: design and implementation

With the emergence of distributed energy resources (DERs), with their associated communication and control complexities, there is a need for an efficient platform that can digest all the incoming data and ensure the reliable operation of the power system. The digital twin (DT) is a new concept that can unleash tremendous opportunities and can be used at the different control and security levels of power systems. This paper provides a methodology for the modelling of the implementation of energy cyber-physical systems (ECPSs) that can be used for multiple applications. Two DT types are introduced to cover the high-bandwidth and the low-bandwidth applications that need centric oversight decision making. The concept of the digital twin is validated and tested using Amazon Web Services (AWS) as a cloud host that can incorporate physical and data models as well as being able to receive live measurements from the different actual power and control entities. The experimental results demonstrate the feasibility of the real-time implementation of the DT for the ECPS based on internet of things (IoT) and cloud computing technologies. The normalized mean-square error for the low-bandwidth DT case was 3.7%. In the case of a high-bandwidth DT, the proposed method showed superior performance in reconstructing the voltage estimates, with 98.2% accuracy from only the controllers’ states

National Conference on ‘Renewable Energy, Smart Grid and Telecommunication-2023

Theme of the Conference: “The challenges and opportunities of integrating renewable energy into the grid” The National Conference on Renewable Energy, Smart Grid, and Telecommunication - 2023 is a platform for industry experts, researchers, and policymakers to come together and explore the latest advancements and challenges in the fields of renewable energy, smart grids, and telecommunication. Conference Highlights: In-depth discussions on renewable energy technologies and innovations. Smart grid integration for a sustainable future. The role of telecommunication in advancing renewable energy solutions. Networking opportunities with industry leaders and experts. Presentation of cutting-edge research papers and case studies. Conference topics: Renewable Energy Technologies and Innovations Smart Grid Development and Implementation Telecommunication for Energy Systems Energy Storage and Grid Balancing Policy, Regulation, and Market Dynamics Environmental and Social Impacts of Renewable Energy Energy Transition and Future Outlook Integration of renewable energy into the grid Microgrids and decentralized energy systems Grid cybersecurity and data analytics IoT and sensor technologies for energy monitoring Data management and analytics in energy sector Battery storage technologies and applicationshttps://www.interscience.in/conf_proc_volumes/1087/thumbnail.jp

Is Fragmentation a Threat to the Success of the Internet of Things?

The current revolution in collaborating distributed things is seen as the first phase of IoT to develop various services. Such collaboration is threatened by the fragmentation found in the industry nowadays as it brings challenges stemming from the difficulty to integrate diverse technologies in system. Diverse networking technologies induce interoperability issues, hence, limiting the possibility of reusing the data to develop new services. Different aspects of handling data collection must be available to provide interoperability to the diverse objects interacting; however, such approaches are challenged as they bring substantial performance impairments in settings with the increasing number of collaborating devices/technologies.Comment: 16 pages, 2 figures, Internet of Things Journal (http://ieee-iotj.org

Improvement of the Fault Tolerance in IoT Based Positioning Systems by Applying for Redundancy in the Controller Layer

               في السنوات الأخيرة ، ازداد انتشار تطبيقات تحديد المواقع للأنظمة القائمة على إنترنت الأشياء (IoT) بشكل متزايد ، ووجدت استخدامات في تتبع الأنشطة اليومية للأطفال والمسنين وتتبع المركبات. من وجهة نظر واحدة ، قد تحتوي البيانات التي تم الحصول عليها من الأنظمة القائمة على نظام تحديد المواقع العالمي (GPS) على خطأ ، مع مراعاة هذه العوامل ، تعتمد الطريقة المقترحة لهذه الدراسة على تطبيق تحديد المواقع القائم على إنترنت الأشياء واستبدال استخدام إنترنت الأشياء بدلاً من نظام تحديد المواقع العالمي (GPS). ومع ذلك ، لا يمكن أن يكون هذا سببًا لعدم استخدام نظام تحديد المواقع العالمي (GPS) ، ولتعزيز الموثوقية ، يمكننا تطبيق مجموعة متوازية من النظام الحديث والأساليب التقليدية في وقت واحد. على الرغم من أنه يمكن الوصول إلى إشارات نظام تحديد المواقع العالمي (GPS) فقط في الأماكن المفتوحة ، فإن أجهزة نظام تحديد المواقع العالمي (GPS) معرضة للخطأ في المقام الأول عندما يكون جهاز الاستقبال موجودًا في منطقة مدنية ، بسبب الازدحام والتداخل المحتمل. تقدم النتيجة نموذجًا قائمًا على التكرار لتحسين تحمل الأخطاء لأنظمة تحديد المواقع القائمة على إنترنت الأشياء. تُظهر نتائج المحاكاة تحسنًا بنسبة 22.5٪ في تحمل الأخطاء لنظام تحديد المواقع القائم على إنترنت الأشياء بعد تطبيق آلية التحقق المقترحة وتحسين 77.4٪ في هذا التسامح بعد التقدم للحصول على تكرار أكثر تكلفة للوحدة النمطية.  In recent years, the positioning applications of Internet-of-Things (IoT) based systems have grown increasingly popular, and are found to be useful in tracking the daily activities of children, the elderly and vehicle tracking. It can be argued that the data obtained from GPS based systems may contain error, hence taking these factors into account, the proposed method for this study is based on the application of IoT-based positioning and the replacement of using IoT instead of GPS.  This cannot, however, be a reason for not using the GPS, and in order to enhance the reliability, a parallel combination of the modern system and traditional methods simultaneously can be applied. Although GPS signals can only be accessed in open spaces, GPS devices are error-prone primarily when the receiver is located in an urban-canyons area, due to congestion and the possible interference. The outcome presents a redundancy-based model for improving the fault tolerance of IoT-based positioning systems. The simulation results show a 22.5% improvement in the fault tolerance of the IoT-based positioning system after applying the proposed validation mechanism, and a 77.4% improvement in this tolerance after applying for a more expensive module redundancy