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Smart energy technologies, services, and business models are being developed to reduce energy consumption and emissions of CO2 and greenhouse gases and to build a sustainable environment. Renewable energy is being actively developed throughout the world, and many intelligent service models related to renewable energy are being proposed. One of the representative service models is the energy prosumer. Through energy trading, the demand for renewable energy and distributed power is efficiently managed, and insufficient energy is covered through energy transaction. Moreover, various incentives can be provided, such as reduced electricity bills. However, despite such a smart service, the energy prosumer model is difficult to expand into a practical business model for application in real life. This is because the production price of renewable energy is higher than that of the actual grid, and it is difficult to accurately set the selling price, restricting the formation of the actual market between sellers and consumers. To solve this problem, this paper proposes a small-scale energy transaction model between a seller and a buyer on a peer-to-peer (P2P) basis. This model employs a virtual prosumer management system that utilizes the existing grid and realizes the power system in real time without using an energy storage system (ESS). Thus, the profits of sellers and consumers of energy transactions are maximized with an improved return on investment (ROI), and an intelligent demand management system can be established.
Sanguk Park; Keonhee Cho; Seunghwan Kim; Guwon Yoon; Myeong-In Choi; Sangmin Park; Sehyun Park. Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource. Sensors 2021, 21, 4533 .
AMA StyleSanguk Park, Keonhee Cho, Seunghwan Kim, Guwon Yoon, Myeong-In Choi, Sangmin Park, Sehyun Park. Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource. Sensors. 2021; 21 (13):4533.
Chicago/Turabian StyleSanguk Park; Keonhee Cho; Seunghwan Kim; Guwon Yoon; Myeong-In Choi; Sangmin Park; Sehyun Park. 2021. "Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource." Sensors 21, no. 13: 4533.
Currently, many intelligent building energy management systems (BEMSs) are emerging for saving energy in new and existing buildings and realizing a sustainable society worldwide. However, installing an intelligent BEMS in existing buildings does not realize an innovative and advanced society because it only involves simple equipment replacement (i.e., replacement of old equipment or LED (Light Emitting Diode) lamps) and energy savings based on a stand-alone system. Therefore, artificial intelligence (AI) is applied to a BEMS to implement intelligent energy optimization based on the latest ICT (Information and Communications Technologies) technology. AI can analyze energy usage data, predict future energy requirements, and establish an appropriate energy saving policy. In this paper, we present a dynamic heating, ventilation, and air conditioning (HVAC) scheduling method that collects, analyzes, and infers energy usage data to intelligently save energy in buildings based on reinforcement learning (RL). In this regard, a hotel is used as the testbed in this study. The proposed method collects, analyzes, and infers IoT data from a building to provide an energy saving policy to realize a futuristic HVAC (heating system) system based on RL. Through this process, a purpose-oriented energy saving methodology to achieve energy saving goals is proposed.
Sanguk Park; Sangmin Park; Myeong-In Choi; Sanghoon Lee; Tacklim Lee; Seunghwan Kim; Keonhee Cho; Sehyun Park. Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization. Sensors 2020, 20, 4918 .
AMA StyleSanguk Park, Sangmin Park, Myeong-In Choi, Sanghoon Lee, Tacklim Lee, Seunghwan Kim, Keonhee Cho, Sehyun Park. Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization. Sensors. 2020; 20 (17):4918.
Chicago/Turabian StyleSanguk Park; Sangmin Park; Myeong-In Choi; Sanghoon Lee; Tacklim Lee; Seunghwan Kim; Keonhee Cho; Sehyun Park. 2020. "Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization." Sensors 20, no. 17: 4918.
To build sustainable smart energy cities (SECs) around the world, many countries are now combining customized services and businesses within their energy infrastructure and urban environments. Such changes could then promote the development of platforms that ultimately provide benefits for citizens such as convenience, safety, and cost savings. Currently, the development of technologies for SECs focuses on independent products and unit technology. However, this is problematic, as it may not be possible to develop sustainable cities if there is a lack of connectivity between various elements within the SEC. To solve such problems, this paper presents an AI-based physical and virtual platform using a 5-layer architecture to develop a sustainable smart energy city (SSEC). The architecture employs both a top-down and bottom-up approach and the links between each energy element in the SSEC can readily be analyzed. The economic analysis based on return on investment (ROI) is carried out by comparing the economic benefits before and after the application of this system. Deploying the proposed platform will enable the speedy development and application of new services for SSECs and will provide SSECs with measures to ensure sustainable development, such as rapid urban development, and cost reductions.
Sanguk Park; Sanghoon Lee; Sangmin Park; Sehyun Park. AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development. Sustainability 2019, 11, 4479 .
AMA StyleSanguk Park, Sanghoon Lee, Sangmin Park, Sehyun Park. AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development. Sustainability. 2019; 11 (16):4479.
Chicago/Turabian StyleSanguk Park; Sanghoon Lee; Sangmin Park; Sehyun Park. 2019. "AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development." Sustainability 11, no. 16: 4479.
The Smart Grid has emerged to address the shortcomings of one-way existing grid systems, and is the next generation power grid infrastructure that applies smart ICT (Information Communication Technology) to existing grid. The Smart Grid is expected to greatly improve the efficiency and reliability of future power systems with the demand for renewable energy resources. However, because major power facilities are interconnected through communication networks, Smart Grid’s cyber security is becoming an important issue. Cyber-attacks by malicious intruders can lead to serious incidents such as massive outages and the destruction of power network infrastructure, since the cyber-attacks can damage energy data, starting with personal information leakage from grid members. Therefore, as a solution to this issue we will suggest a secure smart energy management system based on the blockchain. The blockchain is a distributed data processing technology in which all users participating in the network distribute and store data. Applying blockchain technology to the Smart Grid will enable more secure management of energy data, and furthermore, it will contribute to the development of the future smart energy industry in the future.
Seung Min Kim; Tacklim Lee; Seunghwan Kim; Lee Won Park; Sehyun Park. Security Issues on Smart Grid and Blockchain-based Secure Smart Energy Management System. MATEC Web of Conferences 2019, 260, 01001 .
AMA StyleSeung Min Kim, Tacklim Lee, Seunghwan Kim, Lee Won Park, Sehyun Park. Security Issues on Smart Grid and Blockchain-based Secure Smart Energy Management System. MATEC Web of Conferences. 2019; 260 ():01001.
Chicago/Turabian StyleSeung Min Kim; Tacklim Lee; Seunghwan Kim; Lee Won Park; Sehyun Park. 2019. "Security Issues on Smart Grid and Blockchain-based Secure Smart Energy Management System." MATEC Web of Conferences 260, no. : 01001.
Recent advances in networking and communications removed the restrictions of time and space in information services. Context-aware service systems can support the predefined services in accordance with user requests regardless of time and space. However, due to their architectural limitations, the recent systems are not so flexible to provide device-independent services by multiple service providers. Recently, researchers have focused on a new service paradigm characterized by high mobility, service continuity, and green characteristics. In line with these efforts, improved context-aware service platforms have been suggested to make the platform possible to manage the contexts to provide the adaptive services for multi-user and locations. However, this platform can only support limited continuity and mobility. In other words, the existing system cannot support seamless service provision among different service providers with respect to the changes of mobility, situation, device, and network. Furthermore, the existing context-aware service platform is significant reliance on always-on infrastructure, which leads to great amounts of energy consumption inevitably. Therefore, we subsequently propose a new concept of context-aware networking and communications, namely a zone-aware service platform. The proposed platform autonomously reconfigures the infrastructure and maintains a service session interacting with the middleware to support cost- and energy-efficient pervasive services for smart-home sustainability.
Jinsung Byun; Sanguk Park; Keonhee Cho; Sehyun Park. Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability. Sustainability 2018, 10, 266 .
AMA StyleJinsung Byun, Sanguk Park, Keonhee Cho, Sehyun Park. Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability. Sustainability. 2018; 10 (1):266.
Chicago/Turabian StyleJinsung Byun; Sanguk Park; Keonhee Cho; Sehyun Park. 2018. "Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability." Sustainability 10, no. 1: 266.
As energy issues are emerging around the world, a variety of smart home technologies aimed at realizing zero energy houses are being introduced. Energy storage system (ESS) for smart home energy independence is increasingly gaining interest. However, limitations exist in that most of them are controlled according to time schedules or used in conjunction with photovoltaic (PV) generation systems. In consideration of load usage patterns and PV generation of smart home, this study proposes an ESS control algorithm that uses constant energy of energy network while making maximum use of ESS. Constant energy means that the load consumes a certain amount of power under all conditions, which translates to low variability. The proposed algorithm makes a smart home a load of energy network with low uncertainty and complexity. The simulation results show that the optimal ESS operating target power not only makes the smart home use power constantly from the energy network, but also maximizes utilization of the ESS. In addition, since the smart home is a load that uses constant energy, it has the advantage of being able to operate an efficient energy network from the viewpoint of energy providers.
Byeongkwan Kang; Kyuhee Jang; Sounghoan Park; Myeong-In Choi; Sehyun Park. Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home. Sustainability 2018, 10, 236 .
AMA StyleByeongkwan Kang, Kyuhee Jang, Sounghoan Park, Myeong-In Choi, Sehyun Park. Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home. Sustainability. 2018; 10 (1):236.
Chicago/Turabian StyleByeongkwan Kang; Kyuhee Jang; Sounghoan Park; Myeong-In Choi; Sehyun Park. 2018. "Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home." Sustainability 10, no. 1: 236.
In the changing environment of the Internet of Things, optimal energy management in smart spaces requires intelligent and reliable energy-aware-based context sensing and technologies that are capable of recognizing and analyzing the big-data user pattern. In this article, we propose an intelligent and reliable standby power management system. The system uses physical and virtual user behavioral pattern analysis based on energy-aware management to cut-off the standby power of office appliances in the office environment. We propose a two-step priority power-aware method. The first step entails physical perception and management that controls devices through user recognition and device relationship scenarios. The second step is virtual perception and management that controls the standby power by collecting user behavioral patterns and performs an analysis based on a rule mechanism. The proposed system was applied to three locations (offices A, B, and C) in the university test-bed. Power consumption was reduced to 23% of the original consumption through the elimination of unnecessary standby power consumption.
Sanguk Park; Sangmin Park; Byeongkwan Kang; Myeong-In Choi; Keon-Hee Cho; Sehyun Park. Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments. International Journal of Distributed Sensor Networks 2016, 12, 1 .
AMA StyleSanguk Park, Sangmin Park, Byeongkwan Kang, Myeong-In Choi, Keon-Hee Cho, Sehyun Park. Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments. International Journal of Distributed Sensor Networks. 2016; 12 (10):1.
Chicago/Turabian StyleSanguk Park; Sangmin Park; Byeongkwan Kang; Myeong-In Choi; Keon-Hee Cho; Sehyun Park. 2016. "Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments." International Journal of Distributed Sensor Networks 12, no. 10: 1.
In the coming Internet of Things era, billions of users and devices will be connected to the Internet; this will lead beyond the era of super-connection to the era of super-fusion. In this era, it is more important than ever to design a highly scalable Internet of Things infrastructure by mass customization for cost-effective production of exponentially increasing numbers of Internet of Things systems to provide more intelligent service in smart spaces. The purpose of this article is the design of mass-customization-based Internet of Things system through three-level analysis of the building; it proposes a new concept of a systematic design for providing economical Internet of Things systems for intelligent service in smart building spaces through three-level analysis comprising environmental-, service-, and functional-level analyses.
Sanguk Park; Sangmin Park; Jinsung Byun; Sehyun Park. Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces. International Journal of Distributed Sensor Networks 2016, 12, 1 .
AMA StyleSanguk Park, Sangmin Park, Jinsung Byun, Sehyun Park. Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces. International Journal of Distributed Sensor Networks. 2016; 12 (8):1.
Chicago/Turabian StyleSanguk Park; Sangmin Park; Jinsung Byun; Sehyun Park. 2016. "Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces." International Journal of Distributed Sensor Networks 12, no. 8: 1.
Jaekeun Lee; SooNo Seo; Myeong-In Choi; Yongkwen Hwang; Tacklim Lee; Sehyun Park. Design and Implementation of IoT-Based Intelligent Condition Management System for the Industrial Facilities. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015, 48 -53.
AMA StyleJaekeun Lee, SooNo Seo, Myeong-In Choi, Yongkwen Hwang, Tacklim Lee, Sehyun Park. Design and Implementation of IoT-Based Intelligent Condition Management System for the Industrial Facilities. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2015; ():48-53.
Chicago/Turabian StyleJaekeun Lee; SooNo Seo; Myeong-In Choi; Yongkwen Hwang; Tacklim Lee; Sehyun Park. 2015. "Design and Implementation of IoT-Based Intelligent Condition Management System for the Industrial Facilities." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 48-53.
While Location Based Services (LBS) can make our lives more comfortable and productive, it may cause an invasion of privacy by disclosure and commercial use of location information. In this paper, we discuss privacy and security problems that may happen in the current LBS system and propose solutions. We propose a new secure Web services architecture for LBS in wireless network. Our architecture allows mobile users to create and enforce dynamic policy for safe and consistent LBS. We also describe some practical scenarios in which our architecture protects user’s location privacy and security.
Minsoo Lee; Jintaek Kim; Sehyun Park; Jaeil Lee; Seoklae Lee. A Secure Web Services for Location Based Services in Wireless Networks. Computer Vision 2004, 332 -344.
AMA StyleMinsoo Lee, Jintaek Kim, Sehyun Park, Jaeil Lee, Seoklae Lee. A Secure Web Services for Location Based Services in Wireless Networks. Computer Vision. 2004; ():332-344.
Chicago/Turabian StyleMinsoo Lee; Jintaek Kim; Sehyun Park; Jaeil Lee; Seoklae Lee. 2004. "A Secure Web Services for Location Based Services in Wireless Networks." Computer Vision , no. : 332-344.