Location-Based Optimized Service Selection for Data Management with Cloud Computing in Smart Grids

Sivapragash, C.; Padmanaban, Sanjeevikumar; Hossain, Eklas; Holm‐Nielsen, Jens Bo; Hemalatha, R.

doi:10.3390/en12234517

Cited by 9 publications

(9 citation statements)

References 25 publications

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“…For example, Reference [48] proposed a micro forecasting module for energy management in residential environments. In Reference [49], the authors used data management and cloud computing to propose a user-aware power regulatory model with location-based service selection. In Reference [50], authors implemented a cloud analytics-assisted smart power meter for smart homes.…”

Section: Energy Cloud Managementmentioning

confidence: 99%

“…The performance of the activities performed in this layer depends on a clear definition of the standard protocols and APIs and the scalability of solutions for the Uniform Resource Locator (URL) resources [46]. This performance also depends on user authentication algorithms [13], faster traffic, and information delivery [47,112], which can be influenced by the Internet response time [49,53,113]. Lastly, an opportunity to be explored is to use social networks as a way to connect the service and application layers [28].…”

Section: Sessionmentioning

confidence: 99%

“…Due to this, a serious problem to be faced is the communication delay between the Broker-Cloud-Application due to the long distance of data transmission [5]. Some means that can be used to assist in the agility of service to users are to use automated response systems for users, such as autonomous agents and chatbots [113], and use software for automatic verification of the user default [49].…”

Section: Support Blocksmentioning

confidence: 99%

“…To ensure that these requirements are met, security and privacy issues can be done through secret keys in a dynamic process for each reading, which is destroyed when the users log off the systems [49] and remain active only while using the system, which ensures a greater sense of security for users. Other ways to provide security and privacy to users of the ECM system are the introduction of firewalls without compromising performance or increasing latency between layers [22,59,98] to maintain the computational capacity of control and security systems even with encrypted data [49,91,121], a constant cost reduction, and optimization of data encryption algorithms [22,76,78,122,123] to provide an efficient user authentication system [17] that makes it possible to identify illegal activities [13] to detect data mix or leak and virtual attacks [8,9,16,31,67,75,124,125] while still maintaining system integrity and security status [33,58].…”

Section: Security and Privacymentioning

confidence: 99%

“…These challenges can lead company managers to use private clouds [20]. Another way to overcome these challenges is to segregate users according to the desired level of security [49].…”

Section: Security and Privacymentioning

confidence: 99%

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Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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The use of emerging technologies such as cloud computing, Internet of Things, and Big Data, is increasing as tools to assist the management of data and information related to energy systems grow. This allows for greater flexibility, scalability of solutions, optimization of energy use, and management of energy devices. In this sense, the objective of this research is to present the basic elements and requirements for the energy cloud and its management and discuss the main management challenges and opportunities for the development and diffusion of the energy cloud. This study was based on a systematic review carried out to identify the elements that compose the energy cloud and what is necessary for its management, and to list the challenges and opportunities that may be explored by researchers and practitioners. The results show that the layout for the energy cloud and its management can be structured in layers and management support blocks’ format. It was found that 70 basic elements make up the main layers and 36 basic elements make up the management support blocks. The findings of this article also provide insights into the technical, scientific, and management development necessary for the evolution of energy systems toward the cloud computing environment.

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Section: Energy Cloud Managementmentioning

confidence: 99%

Section: Sessionmentioning

confidence: 99%

Section: Support Blocksmentioning

confidence: 99%

Section: Security and Privacymentioning

confidence: 99%

“…These challenges can lead company managers to use private clouds [20]. Another way to overcome these challenges is to segregate users according to the desired level of security [49].…”

Section: Security and Privacymentioning

confidence: 99%

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Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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Proposal for a new layer for energy cloud management: The regulatory layer

et al. 2021

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Summary The global energy matrix has been transforming in recent years and today it is moving toward a decentralized form of management for the generation of clean energy worldwide. With this, new ways of management for the energy environment has been emerging, being the Energy Cloud (EC), through cloud computing, one of these trends that seek to optimize the process of generation, distribution, storage and energy consumption, making the most flexible and dynamic energy market. Given these motivations, the objective of this article is to discuss the proposal of a series of technical, economic, and environmental standards for energy management in a cloud computing environment. For this, a systematic review was carried out to identify these regulatory suggestions, where through the reading and analysis of 121 articles, 72 suggestions were extracted and classified according to the layers and management support blocks of from EC management environment. Besides, these policies were grouped according to their approach into technical, economic, and environmental factors to identify what was already proposed by the academy's authors and what are the regulatory deficiencies for EC. These regulatory suggestions can be used by policy‐makers, researchers, and managers of this innovative energy management environment, which is the EC. Novelty Statement This study consists of a regulatory proposal for Energy Cloud (EC), an innovative energy management environment. As there is still no regulatory body responsible for the regulation of EC, the main contribution of this article is the proposal of a regulation layer. In this sense, 72 suggestions for standards were raised, presenting a new layer for EC.

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A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

et al. 2022

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Smart City has been an emerging research domain for Government, Businesses, and researchers in the last few years. The Indian government is also interested and investing lots of funds to develop smart cities. These cities are technology-based and require interdisciplinary research and development for successful implementation. Over the last few decades, various technological interventions have created a tendency to provide smart everyday objects to make human life more comfortable. The emergence of the smart city paradigm is a response to creating a future city that guarantees the well-being and rights of its citizens from the perspective of industrial development: industry, urban planning, environment, and sustainable development. There are several subdomains in the smart city for the research. To work with the different subdomains in a smart city, proper guidance about the background of the smart city is required. This research paper is a guide for the same. This research paper represents a systematic literature review of the smart city domain. This paper carries out a systematic review of research papers published in various well-reputed journals like IEEE, Springer, Elsevier, etc., between 2011 and. This paper will help the government, businesses, and researchers aiming to enhance the smart city concept. Initially, this paper discusses the origin and emergence of this concept, followed by a few definitions and characteristics with the real roadmap and primary supporting pillars of the smart city. This paper discusses a typical architecture having different layers like Sensing, Transportation, Data Management, and Application Layers. There are various supporting technologies and platforms for the smart city; hence implementations are impossible without these technologies and media. This research paper discusses different components of the smart city. A broad literature survey is being done to observe various challenges, opportunities, and future trends in the smart city. This research paper can guide the researchers and provide the research direction in the smart city domain.

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Location-Based Optimized Service Selection for Data Management with Cloud Computing in Smart Grids

Cited by 9 publications

References 25 publications

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

Proposal for a new layer for energy cloud management: The regulatory layer

A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

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