Demand Side Management for Smart Grid Based on Smart Home Appliances with Renewable Energy Sources and an Energy Storage System

Xu, Zhihong; Gao, Yan; Hussain, Muhammad Majid; Cheng, Panhong

doi:10.1155/2020/9545439

Cited by 21 publications

(11 citation statements)

References 51 publications

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“…Smart city services integrate many greatly promising technologies resembling databases, data warehouses, advanced computer networks, content management, big data, social mining, and so forth [8]. It should be noted that these technological solutions in the field of smart cities have been applied in various areas, such as smart home [9], smart grid [10], smart community [11], smart governance [12], smart building [13], smart manufacturing [14], smart agriculture [15], and smart healthcare applications that play an important role nowadays [16][17][18]. Smart healthcare monitoring in smart cities is important to provide better services and carefulness to residents [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

Karâa

Alkhammash

Slimani

et al. 2021

Journal of Healthcare Engineering

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The paper presents a recommendation model for developing new smart city and smart health projects. The objective is to provide recommendations to citizens about smart city and smart health startups to improve entrepreneurship and leadership. These recommendations may lead to the country’s advancement and the improvement of national income and reduce unemployment. This work focuses on designing and implementing an approach for processing and analyzing tweets inclosing data related to smart city and smart health startups and providing recommended projects as well as their required skills and competencies. This approach is based on tweets mining through a machine learning method, the Word2Vec algorithm, combined with a recommendation technique conducted via an ontology-based method. This approach allows discovering the relevant startup projects in the context of smart cities and makes links to the needed skills and competencies of users. A system was implemented to validate this approach. The attained performance metrics related to precision, recall, and F-measure are, respectively, 95%, 66%, and 79%, showing that the results are very encouraging.

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Section: Introductionmentioning

confidence: 99%

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

Karâa

Alkhammash

Slimani

et al. 2021

Journal of Healthcare Engineering

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“…A novel energy management framework is being developed to improve the performance of renewable energy and storage systems by planning numerous household appliances [23]. End users schedule the devices optimally, taking into account both the overall benefit and the minimum energy expense of the user as strategic goals.…”

Section: Various Approaches In Dsm Techniquesmentioning

confidence: 99%

Various demand side management techniques and its role in smart grid–the state of art

Muthuselvi

Balasubramanian²

2022

IJECE

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The current lifestyle of humanity relies heavily on energy consumption, thus rendering it an inevitable need. An ever-increasing demand for energy has resulted from the increasing population. Most of this demand is met by the traditional sources that continuously deplete and raise significant environmental issues. The existing power structure of developing nations is aging, unstable, and unfeasible, further prolonging the problem. The existing electricity grid is unstable, vulnerable to blackouts and disruption, has high transmission losses, low quality of power, insufficient electricity supply, and discourages distributed energy sources from being incorporated. Mitigating these problems requires a complete redesign of the system of power distribution. The modernization of the electric grid, i.e., the smart grid, is an emerging combination of different technologies designed to bring about the electrical power grid that is changing dramatically. Demand side management (DSM) allow customers to be more involved in contributors to the power systems to achieve system goals by scheduling their shiftable load. Effective DSM systems require the participation of customers in the system that can be done in a fair system. This paper focuses primarily on techniques of DSM and demand responses (DR), including scheduling approaches and strategies for optimal savings.

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“…Energy management of smart homes with renewable resources and an energy storage system (ESS) through optimal scheduling of home appliances for maximizing the consumers' satisfaction level along with minimization of user's energy cost is studied in [55]. Uncertainty associated with renewable energy generation is also considered.…”

Section: Dsm In Systems With Integrated Rers Ders and Storage Devicesmentioning

confidence: 99%

Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review

Nasir¹,

Bukhari

Raza³

et al. 2021

Mathematical Problems in Engineering

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The concept of smart grid was introduced a decade ago. Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy supply and demand and reduce the peak to average ratio (PAR), thus resulting in energy and economic efficiency ultimately. The application of DSM programs is lucrative for both utility and consumers. Utilities can implement DSM programs to improve the system power quality, power reliability, system efficiency, and energy efficiency, while consumers can experience energy savings, reduction in peak demand, and improvement of system load profile, and they can also maximize usage of renewable energy resources (RERs). In this paper, some of the strategies of DSM including peak shaving and load scheduling are highlighted. Furthermore, the implementation of numerous optimization techniques on DSM is reviewed.

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Demand Side Management for Smart Grid Based on Smart Home Appliances with Renewable Energy Sources and an Energy Storage System

Cited by 21 publications

References 51 publications

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

Various demand side management techniques and its role in smart grid–the state of art

Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review

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