Abstract
The demand response energy optimization system for the residential buildings includes one or more energy managers that monitor and control one or more power loads arranged in the building, an energy management system server that stores the information these loads by communicating with a number energy managers, and a demand response server that transmits information about the external demand reduction request to the same energy manager in the same manner. The system is effective and efficient in optimizing the energy used by the residential buildings as it can efficiently control the reduction according to the load arranged in each residence when reduction of energy use has been requested by the demand response server.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Huh J (2017) Smart grid test bed using OPNET and power line communication. Advances in computer and electrical engineering. IGI Global, USA, pp 1–425
Xiao-sheng L, Liang Z, Yan Z, Dian-guo X (2011) Performance analysis of power line communication network model based on spider web. In: 8th international conference on power electronics ECCE Asia, pp 953–959
Sabolic D (2003) Influence of the transmission medium quality on the automatic meter reading system capacity. IEEE Trans Power Del 18:725–728
Rus C, Kontola K, Igor DDC, Defee I (2008) Mobile TV content to home WLAN. IEEE Trans Consum Electron 54:1038–1041
Peter MC, Desbonnet J, Bigioi P, Lupu L (2002) Home network infrastructure for handheld/wearable appliances. IEEE Trans Consum Electron 48:490–495
Hwang T, Park H, Paik E (2009) Location-aware UPnP AV session manager for smart home. In: IEEE first international conference on networked digital technologies, pp 106–109
Sharma K, Saini LM (2017) Power-line communications for smart grid: progress, challenges, opportunities and status. Renew Sustain Energy Rev 67:704–751
Helal S, Mann W, El-Zabadani H, King J, Kaddoura Y, Jansen E (2005) The gator tech smart house: a programmable pervasive space. IEEE Computer Society, pp 50–59
Liau W-H, Chao-Lin W, Fu L-C (2008) Inhabitants tracking system in a cluttered home environment via floor load sensors. IEEE Trans Autom Sci Eng 5:10–20
Ou CZ, Lin BS, Chang CJ, Lin CT (2012) Brain computer interface-based smart environmental control system. In: Eighth international conference on intelligent information hiding and multimedia signal processing, IEEE Computer Society, pp 281–284 (2012)
Huh J-H, Seo K (2015) Design and implementation of the basic technology for solitary senior citizen’s lonely death monitoring system using PLC. J Korea Multimed Soc 18(6):742–752
Huh J-H, Seo K (2015) Hybrid advanced metering infrastructure design for micro grid using the game theory model. Int J Softw Eng Its Appl SERSC 9(9):257–268
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jung, S., Huh, JH. (2019). Demand Response Resource Energy Optimization System for Residential Buildings: Smart Grid Approach. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_67
Download citation
DOI: https://doi.org/10.1007/978-981-13-1328-8_67
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1327-1
Online ISBN: 978-981-13-1328-8
eBook Packages: EngineeringEngineering (R0)