scholarly journals Smart Management Consumption in Renewable Energy Fed Ecosystems

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2967 ◽  
Author(s):  
Francisco Javier Ferrández-Pastor ◽  
Juan Manuel García-Chamizo ◽  
Sergio Gomez-Trillo ◽  
Rafael Valdivieso-Sarabia ◽  
Mario Nieto-Hidalgo
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Grid ◽  
Energy Management ◽  
Communication Protocols ◽  
Energy Generation ◽  
Cloud Services ◽  
Embedded Devices ◽  
Smart Services ◽  
Automation Systems

Advances in embedded electronic systems, the development of new communication protocols, and the application of artificial intelligence paradigms have enabled the improvement of current automation systems of energy management. Embedded devices integrate different sensors with connectivity, computing resources, and reduced cost. Communication and cloud services increase their performance; however, there are limitations in the implementation of these technologies. If the cloud is used as the main source of services and resources, overload problems will occur. There are no models that facilitate the complete integration and interoperability in the facilities already created. This article proposes a model for the integration of smart energy management systems in new and already created facilities, using local embedded devices, Internet of Things communication protocols and services based on artificial intelligence paradigms. All services are distributed in the new smart grid network using edge and fog computing techniques. The model proposes an architecture both to be used as support for the development of smart services and for energy management control systems adapted to the installation: a group of buildings and/or houses that shares energy management and energy generation. Machine learning to predict consumption and energy generation, electric load classification, energy distribution control, and predictive maintenance are the main utilities integrated. As an experimental case, a facility that incorporates wind and solar generation is used for development and testing. Smart grid facilities, designed with artificial intelligence algorithms, implemented with Internet of Things protocols, and embedded control devices facilitate the development, cost reduction, and the integration of new services. In this work, a method to design, develop, and install smart services in self-consumption facilities is proposed. New smart services with reduced costs are installed and tested, confirming the advantages of the proposed model.

scholarly journals COIIoT - An Interface between CoAP and OSGP Protocols for the Integration of Internet of Things Devices with Smart Grids

2020 ◽  
Author(s):  
Felipe Viel ◽  
Luis Augusto Silva ◽  
Valderi Leithardt ◽  
Gabriel Villarubia González ◽  
Raimundo Celeste Ghizoni Teive ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Smart Grids ◽  
Communication Protocols ◽  
High Volume ◽  
The Internet ◽  
Human Intervention ◽  
Exchange Information ◽  
Systems Architectures ◽  
The Internet Of Things

The evolution and miniaturization of the technologies for processing, storage, and communication have enabled computer systems to process a high volume of information and make decisions without human intervention. Within this context, several systems architectures and models have gained prominences, such as the Internet of Things (IoT) and Smart Grids (SGs). SGs use communication protocols to exchange information, among which the Open Smart Grid Protocol (OSGP) stands out. In contrast, this protocol does not have integration support with IoT systems that use some already consolidated communication protocols, such as the Constrained Application Protocol (CoAP). Thus, this work develops the integration of the protocols OSGP and CoAP to allow the communication between conventional IoT systems and systems dedicated to SGs. Results demonstrate the effectiveness of this integration, with the minimum impact on the flow of commands and data, making possible the use of the developed CoAP-OSGP Interface for Internet of Things (COIIoT).

scholarly journals Towards Trust and Friendliness Approaches in the Social Internet of Things

2019 ◽  
Vol 9 (1) ◽  
pp. 166 ◽  
Author(s):  
Farhan Amin ◽  
Awais Ahmad ◽  
Gyu Sang Choi
Keyword(s):  
Internet Of Things ◽  
Reliable Data ◽  
Cloud Services ◽  
Interconnected Network ◽  
Common Goal ◽  
Embedded Devices ◽  
Social Contacts ◽  
The Social ◽  
Social Internet Of Things ◽  
The Internet Of Things

The Internet of Things (IoT) is an interconnected network of heterogeneous entities, such as sensors and embedded devices. During the current era, a new field of research has emerged, referred to as the social IoT, which mainly includes social networking features. The social IoT refers to devices that are capable of creating interactions with each other to independently achieve a common goal. Based on the structure, the support of numerous applications, and networking services, the social IoT is preferred over the traditional IoT. However, aspects like the roles of users and network navigability are major challenges that provoke users’ fears of data disclosure and privacy violations. Thus, it is important to provide reliable data analyses by using trust- and friendliness-based properties. This study was designed because of the limited availability of information in this area. It is a classified catalog of trust- and friendliness-based approaches in the social IoT with important highlights of important constraints, such as scalability, adaptability, and suitable network structures (for instance, human-to-human and human-to-object). In addition, typical concerns like communities of interest and social contacts are discussed in detail, with particular emphasis on friendliness- and trust-based properties, such as service composition, social similarity, and integrated cloud services.

Smart Hotels and Technological Applications

2020 ◽  
pp. 323-343 ◽  
Author(s):  
Ali Dalgic ◽  
Kemal Birdir
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Internet Of Things ◽  
Hotel Room ◽  
Software Technology ◽  
Heritage Sites ◽  
Service Failures ◽  
Automation Systems ◽  
Technological Developments ◽  
Self Service

Technological developments and demographic changes have started to encourage the hotel businesses to use automation systems and adapt the concept of smart hotel. Smart hotels use state-of-the-art technology to provide customers with different and more technology-oriented experiences. A robot works as receptionist, concierge, bellboy, and housekeeper in such hotels. These applications are observed to minimize service failures and save on costs. For instance, chatbots created in smart hotels by means of artificial intelligence respond to customers' problems and demands quickly and accurately. Virtual reality applications used in the marketing of smart hotels make it possible for guests to take a virtual tour of the cultural heritage sites of the destinations. Internet of things (IoT) is another technology that is often used in smart hotels to offer customers a more comfortable holiday and get instant data. Likewise, in smart hotels, self-service software technology is often used and enables customers to perform many tasks such as check-in / out, getting hotel room keys, etc.

scholarly journals State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1030 ◽  
Author(s):  
Syed Saqib Ali ◽  
Bong Jun Choi
Keyword(s):  
Artificial Intelligence ◽  
Smart Grid ◽  
Power System ◽  
Energy Management ◽  
Smart Grids ◽  
State Of The Art ◽  
Energy Resources ◽  
Distributed Energy ◽  
Artificial Intelligence Techniques ◽  
Home Energy Management

The power system worldwide is going through a revolutionary transformation due to the integration with various distributed components, including advanced metering infrastructure, communication infrastructure, distributed energy resources, and electric vehicles, to improve the reliability, energy efficiency, management, and security of the future power system. These components are becoming more tightly integrated with IoT. They are expected to generate a vast amount of data to support various applications in the smart grid, such as distributed energy management, generation forecasting, grid health monitoring, fault detection, home energy management, etc. With these new components and information, artificial intelligence techniques can be applied to automate and further improve the performance of the smart grid. In this paper, we provide a comprehensive review of the state-of-the-art artificial intelligence techniques to support various applications in a distributed smart grid. In particular, we discuss how artificial techniques are applied to support the integration of renewable energy resources, the integration of energy storage systems, demand response, management of the grid and home energy, and security. As the smart grid involves various actors, such as energy produces, markets, and consumers, we also discuss how artificial intelligence and market liberalization can potentially help to increase the overall social welfare of the grid. Finally, we provide further research challenges for large-scale integration and orchestration of automated distributed devices to realize a truly smart grid.

scholarly journals Smart Plugs: Paradigms and Applications in the Smart City-and-Smart Grid

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1957 ◽  
Author(s):  
Nagender Kumar Suryadevara ◽  
Gyan Ranjan Biswal
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Energy Management ◽  
Smart City ◽  
The Internet ◽  
Load Monitoring ◽  
Management Experience ◽  
Current Energy ◽  
The Internet Of Things ◽  
Connected Spaces

In the current energy ecosystem, the need for a Hybrid Appliance Load Monitoring System (HALMS) to establish a smarter grid and energy infrastructure is undeniable. The increasing popularity of the Internet of Things (IoT) has suddenly pushed the demand for smart and connected devices. This review introduces the term smart plug as a device that uses IoT for establishing HALMS. These smart plugs are a handy solution to make the so-called ‘dumb’ devices smart. The strategy of smart plugs to enhance the energy management experience in connected spaces is presented. This study extensively highlights the current smart plug technologies and the relevant activities and limitations that need to overcome the requirements of HALMS.

scholarly journals Artificial Intelligence Technique and Wireless Sensor Networks in Energy Management System for Secure Power Optimization

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ayuba John ◽  
Abdulazeez Yusuf ◽  
Abdulhamid Ardo
Keyword(s):  
Artificial Intelligence ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grid ◽  
Power System ◽  
Energy Management ◽  
Management System ◽  
Power Optimization ◽  
Wireless Sensor ◽  
And Control

The acquisition of data, the processing of those data for use by the operator, and control of remote devices are the fundamental building blocks of all modern utility control systems. Manual calculations, technical analysis and conclusions were initially adopted in power system design, operation and control. As the power system grow it become more complex due to the technical advancements, variety and dynamic requirements. Artificial intelligence is the science of automating intelligent behaviours currently achievable by humans. Intelligent system techniques may be of great help in the implementation of area power system controls. While smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability, and so on. The big picture of the whole transmission grid, in the context of smart grids, is still unclear; and in Nigeria no studies have been put on ground in order for the existing network to be turn into a smart grid. In this research work emphasis is place on generation and transmission stations; power optimization using artificial intelligent techniques and wireless sensor networks for power control management system.

scholarly journals How Smart is the Grid?

2021 ◽  
Vol 9 ◽  
Author(s):  
Ermanno Lo Cascio ◽  
Luc Girardin ◽  
Zhenjun Ma ◽  
François Maréchal
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Grid ◽  
Quantum Cryptography ◽  
General Analysis ◽  
Multidisciplinary Cooperation ◽  
The Future ◽  
Taxonomic Framework

Ancient Romans called urbs the set of buildings and infrastructures, and civitas the Roman citizens. Today instead, while the society is surfing the digital tsunami, urbs and civitas tend to become much closer, almost merging, that we might attempt to condensate these into a single concept: smart grid. Internet of things, artificial intelligence, blockchain, and quantum cryptography are only a few of the technologies that are likely to contribute to determining the final portrait of the future smart grid. However, to understand the effective sustainability of complex grids, specific tools are required. To this end, in this article, a new taxonomic framework has been developed starting from a general analysis of the emerging solutions, identifying intersectoral synergies and limitations with respect to the ‘smart grid’ concept. Finally, from the scenario portrayed, a set of issues involving engineering, regulation, security, and social frameworks have been derived in a theoretical fashion. The findings are likely to suggest the urgent need for multidisciplinary cooperation to address engineering and ontological challenges gravitating around the smart grid concept.

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