The Internet of Renewable Energy: Big Data-Driven Smart Grid Management with the Reliability and Security Analysis

Author(s):  
P. Vaishnavi ◽  
V. Deenadayalan
2022 ◽  
Vol 9 (1) ◽  
pp. 1-14
Author(s):  
Gustavo Grander ◽  
Luciano Ferreira da Silva ◽  
Ernesto D. R. Santibanez Gonzalez

Studies concerning Big Data patents have been published; however, research investigating Big Data projects is scarce. Therefore, the objective of this study was to conduct an exploratory analysis of a patent database to collect information about the characteristics of registered patents related to Big Data projects. We searched for patents related to Big Data projects in the Espacenet database on January 10, 2021, and identified 109 records.. The textual analysis detected three word classes interpreted as (i) a direction to cloud computing, (ii) optimization of solutions, and (iii) storage and data sharing structures. Our results also revealed emerging technologies such as Blockchain and the Internet of Things, which are utilized in Big Data project solutions. This observation demonstrates the importance that has been given to solutions that facilitate decision-making in an increasingly data-driven context. As a contribution, we understand that this study endorses a group of researchers that has been dedicated to academic research on patent documents.


2021 ◽  
Vol 300 ◽  
pp. 01004
Author(s):  
Guang Chen ◽  
Mingda He ◽  
Chang Liu ◽  
Jianbin Gao

Blockchain and the Internet of Things (IoT) complements each other within the space of decentralization, real time monitoring, and data sharing and security. In this paper we explored the integration of blockchain and IoT within the context of smart grid. Current REC system lacks visibility and transparency which are very critical to the success of smart grids. Conventional smart grid system makes it difficult to proof whether a buyer has truly received an energy certificate or not. Therefore, we proposed a blockchain and IoT based system for autonomous monitoring of energy sources and tracking of RECs on smart grid. Our system provides the visibility and transparency on smart grid networks that is imperative to safeguarding RECs market. Results based on extensive experiments illustrate the efficiency and scalability of our system.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fernando Almeida

The evolution of information systems and the growth in the use of the Internet and social networks has caused an explosion in the amount of available data relevant to the activities of the companies. Therefore, the treatment of these available data is vital to support operational, tactical and strategic decisions. This paper aims to present the concept of big data and the main technologies that support the analysis of large data volumes. The potential of big data is explored considering nine sectors of activity, such as financial, retail, healthcare, transports, agriculture, energy, manufacturing, public, and media and entertainment. In addition, the main current opportunities, vulnerabilities and privacy challenges of big data are discussed. It was possible to conclude that despite the potential for using the big data to grow in the previously identified areas, there are still some challenges that need to be considered and mitigated, namely the privacy of information, the existence of qualified human resources to work with Big Data and the promotion of a data-driven organizational culture.


2018 ◽  
Vol 14 (4) ◽  
pp. 88-107 ◽  
Author(s):  
Izabella V. Lokshina ◽  
Barbara J. Durkin ◽  
Cees Lanting

Ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the Internet of Things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on Big Data. Now business models may focus on the provision of services, i.e., the Internet of Services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support potential opportunities to create revenue and value for various types of customers. This article contributes to the literature by considering, for the first time, business models, strategic implications and business opportunities for third-party data analysis services.


2015 ◽  
Vol 56 ◽  
pp. 592-597 ◽  
Author(s):  
Manar Jaradat ◽  
Moath Jarrah ◽  
Abdelkader Bousselham ◽  
Yaser Jararweh ◽  
Mahmoud Al-Ayyoub

Author(s):  
Izabella V. Lokshina ◽  
Barbara J. Durkin ◽  
Cees J. M. Lanting

Ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the internet of things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on big data. Now business models may focus on the provision of services (i.e., the internet of services [IoS]). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support creating revenue and value for different types of customers. This chapter contributes to the literature by considering, for the first time, knowledge-based management practices, business models, new ventures, and new business opportunities for third-party data analysis services.


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