Abstract
The evolutionary transition to smart grids and smart buildings holds a great promise for a cleaner, more efficient power; healthier air; and lower greenhouse gas emissions. This chapter opens with an introduction that provides an overview of conventional power grid and its evolution to smart grid. In section “Smart Grid Technologies,” the smart grid technologies are presented. Section “Renewable Energy Resources in the Grid: Challenges and Opportunities” discusses a number of potential challenges and opportunities in integrating renewable energy (RE) with the existing grid. The next section presents the demand response (DR) concept, which is a way to decrease the electrical load. In section “Geographical Information System (GIS) and Smart Grid,” the importance of geographical information system (GIS) to provide a virtual representation of the smart grid is highlighted. In section “Smart Grid Networking and Communication Technologies,” the role of communication networks in smart grid operation is described. Section “Security and Privacy” presents a discussion of network security and privacy concerns. Section “Cloud Computing for the Smart Grid” explores the use of cloud computing to facilitate the operation of smart grid. Section “Advances and Challenges in the Development of Smart Grids” deals with the advances and challenges in the development of smart grid. The economics of smart grid are discussed in section “Smart Grid Economics.” In section “Road Map to ‘Mature’ Smart Grids,” a model is discussed that can provide guidance and a road map to establish a fully functioning “mature” smart grid. Section “Smart Buildings” introduces smart buildings, their integration within the smart grid infrastructure, the energy management approaches between building clusters and the microgrid environment, and finally provides real case studies of smart buildings.
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References
Ackermann T, Andersson G, Söder L (2001) Distributed generation: a definition. Electr Power Syst Res 57(3):195–204
Agüero-Rubio J, Giménez-Fernández A, Callejón-Ferre AJ, López-Martínez J (2014) Simple rule for management of thermal loads with real-time prices. J Clean Prod 78:48. https://doi.org/10.1016/j.jclepro.2014.05.001
Ahmad A, Khan JY (2020) Real-time load scheduling, energy storage control and comfort management for grid-connected solar integrated smart buildings. Appl Energy 259:114208. https://doi.org/10.1016/j.apenergy.2019.114208
Akbari H et al (2019) Efficient energy storage technologies for photovoltaic systems. Solar Energy. https://doi.org/10.1016/j.solener.2018.03.052
Al Abri D (2015) Detection of MITM attack in LAN environment using payload matching. In: 2015 IEEE International Conference on Industrial Technology (ICIT), pp 1857–1862. https://doi.org/10.1109/ICIT.2015.7125367
Al Kindi A, Al Abri D, Al Maashri A, Bait-Shiginah F (2019) Analysis of malware propagation behavior in Social Internet of Things. Int J Commun Syst 32(15):e4102
Alalouch C, Al-Saadi S, AlWaer H, Al-Khaled K (2019) Energy saving potential for residential buildings in hot climates: the case of Oman. Sustain Cities Soc 46:101442. https://doi.org/10.1016/j.scs.2019.101442
Albadi MH, El-Saadany EF (2008) A summary of demand response in electricity markets. Electr Power Syst Res 78(11):1989–1996
Albadi M et al (2017) Optimal allocation of PV systems to minimize losses in distribution networks using GA and PSO: Masirah Island case study. J Electr Syst 13(4)
Albadi MH, El-Rayani YM, El-Saadany EF, Al-Riyami HA (2018) Impact of solar power projects on LMP and transmission losses in Oman. Sustain Energy Technol Assess 27:141–149
Alliance G (2018) Grid modernization index 2018: key indicators for a changing electric grid
Al-Saadi SN, Shaaban AK (2019) Zero energy building (ZEB) in a cooling dominated climate of Oman: design and energy performance analysis. Renew Sust Energ Rev 112:299–316. https://doi.org/10.1016/j.rser.2019.05.049
Alshohoumi F, Sarrab M, AlHamadani A, Al-Abri D (2019) Systematic review of existing iot architectures security and privacy issues and concerns. Int J Adv Comput Sci Appl 10(7):232–251
Amin SM (2011) Smart grid: overview, issues and opportunities. Advances and challenges in sensing, modeling, simulation, optimization and control. Eur J Control 17(5–6):547–567
Andreadou N, Guardiola MO, Fulli G (2016) Telecommunication technologies for smart grid projects with focus on smart metering applications. Energies 9(5):375
Au T, Au TP (1992) Engineering economics for capital investment analysis. Prentice-Hall, Inc, Englewood Cliffs
Babic J (2014) Agent-based modeling of electricity markets in a smart grid environment. University of Zagreb. Available at https://www.fer.unizg.hr/_download/repository/Jurica_Babic_-_Agent-based_Modeling_of_Electricity_Markets_in_a_Smart_Grid_Environment_%5BKDI%5D.pdf
Baležentis T, Štreimikienė D (2019) Sustainability in the electricity sector through advanced technologies: energy mix transition and smart grid technology in China. Energies 12(6):1142
Banerjee A et al (2005) Wavelength-division-multiplexed passive optical network (WDM-PON) technologies for broadband access: a review [Invited]. J Opt Netw 4(11):737–758
Baniasadi A, Habibi D, Al-Saedi W, Masoum MAS, Das CK, Mousavi N (2020) Optimal sizing design and operation of electrical and thermal energy storage systems in smart buildings. J Energy Storage 28:101186. https://doi.org/10.1016/j.est.2019.101186
Barillari L et al (2015) An equivalent electric circuit for the thermal network of the Savona Campus Smart Polygeneration Microgrid. https://doi.org/10.1109/PTC.2015.7232394
Batov EI (2015) The distinctive features of ‘smart’ buildings. Proc Eng 111:103. https://doi.org/10.1016/j.proeng.2015.07.061
Biglieri E (2003) Coding and modulation for a horrible channel. IEEE Commun Mag 41(5):92–98
Bilgin BE, Gungor VC (2012) Performance evaluations of ZigBee in different smart grid environments. Comput Netw 56(8):2196–2205. https://doi.org/10.1016/j.comnet.2012.03.002
Bloustein E (2005) Assessment of customer response to real time pricing. Rutgers- State University of New Jersey Technical Report, pp 1–23
Bracco S, Delfino F, Pampararo F, Robba M, Rossi M (2016a) A pilot facility for analysis and simulation of smart microgrids feeding smart buildings. Renew Sustain Energy Rev. https://doi.org/10.1016/j.rser.2015.12.225
Bracco S, Delfino F, Laiolo P, Rossi M (2016b) The Smart City Energy infrastructures at the Savona Campus of the University of Genoa. https://doi.org/10.23919/AEIT.2016.7892774
Bracco S, Brignone M, Delfino F, Procopio R (2017) An energy management system for the Savona campus smart polygeneration microgrid. IEEE Syst J 11:1799. https://doi.org/10.1109/JSYST.2015.2419273
Bracco S, Brignone M, Delfino F, Laiolo P, Procopio R (2018) The University of Genoa Smart City demo site. https://doi.org/10.23919/AEIT.2018.8577374
Brignone M, Delfino F, Fichera M, Procopio R, Barillari L, Nilberto A (2016) Optimal thermal power production by means of an equivalent electric circuit for a thermal network: the Savona Campus Smart Polygeneration Microgrid case. https://doi.org/10.1109/IISA.2016.7785394
Buono L, Sanseverino ER, Di Silvestre ML, Bracco S, Delfino F (2016) Distributed optimal power flow for islanded microgrids: an application to the Smart Polygeneration Microgrid of the Genoa University. https://doi.org/10.1109/ISC2.2016.7580793
C. E. Commission (2004) DG definition and cost-benefit analysis-policy inventory, Sacramento, pp 95814–95512
Carnegie Mellon University (2011) Smart grid maturity model: matrix, Version 1.2. CMU/SEI-2011-TR-025. Accessed 6 July 2020. [Online]. Available: https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=512751
Carnegie Mellon University (2014) SGMM around the world. Accessed 6 July 2020. https://resources.sei.cmu.edu/asset_files/Webinar/2014_018_101_303535.pdf
Cole RJ, Fedoruk L (2015) Shifting from net-zero to net-positive energy buildings. Build Res Inf 43:111. https://doi.org/10.1080/09613218.2014.950452
Coletta G, Vaccaro A, Villacci D (2017) A review of the enabling methodologies for PMUs-based dynamic thermal rating of power transmission lines. Electr Power Syst Res 152:257–270
Cramton P (2017) Electricity market design. Oxf Rev Econ Policy 33(4):589–612
Cui T, Chen S, Wang Y, Zhu Q, Nazarian S, Pedram M (2017) An optimal energy co-scheduling framework for smart buildings. Integr VLSI J 58:528. https://doi.org/10.1016/j.vlsi.2016.10.009
Dang HA, Gaaloul S, Delinchant B, Wurtz F (2013) Building simulation of energy consumption and ambient temperature: application to the predis platform
Daniela P, Marcela P (2013) Some aspects about smart building management systems – solutions for green, secure and smart buildings. Recent Adv Environ Sci
Delfino F, Procopio R, Rossi M, Brignone M, Robba M, Bracco S (2018) Microgrid design and operation: toward smart energy in cities. Artech House
Delinchant B, Wurtz F, Ploix S, Schanen JL, Marechal Y (2016) GreEn-ER living lab: a green building with energy aware occupants
Department of Energy, USA. The smart grid: an introduction. https://www.energy.gov/sites/prod/files/oeprod/DocumentsandMedia/DOE_SG_Book_Single_Pages.pdf. Accessed 3 July 2020
Dileep G (2020) A survey on smart grid technologies and applications. Renew Energy 146:2589. https://doi.org/10.1016/j.renene.2019.08.092
Dragičević T, Siano P, Prabaharan SR (2019) Future generation 5G wireless networks for smart grid: a comprehensive review. Energies 12(11):2140
Dranka GG, Ferreira P (2020) Towards a smart grid power system in Brazil: challenges and opportunities. Energy Policy 136:111033
Dzung D, Naedele M, Von Hoff TP, Crevatin M (2005) Security for industrial communication systems. Proc IEEE 93(6):1152–1177
EIA (2013) Distributed generation system characteristics and costs in the buildings sector. U.S. Energy Information Administration
El-Hawary ME (2014) The smart grid—state-of-the-art and future trends. Electr Power Compon Syst 42(3–4):239–250
EPRI Report (2010) Methodological approach for estimating the benefits and costs of smart grid demonstration projects. EPRI, Palo Alto. 1020342. Accessed 6 July 2020. [Online]. Available: https://www.epri.com/research/products/1020342
EPRI Report (2011) Estimating the costs and benefits of the smart grid: a preliminary estimate of the investment requirements and the resultant benefits of a fully functioning smart grid. EPRI, Palo Alto. 1022519
EPRI Report (2012) Guidebook for cost/benefit analysis of smart grid demonstration projects. EPRI, Palo Alto. 1025734. Accessed 6 July 2020. [Online]. Available: https://www.epri.com/research/products/1025734
EPRI Report (2013) Guidebook for cost/benefit analysis of smart grid demonstration projects: revision 2. EPRI, Palo Alto
Ergen SC. ZigBee/IEEE 802.15. 4 Summary. UC Berkeley September 10, 2004. Accessed 14 Oct 2014. [Online]. Available: http://staff.ustc.edu.cn/~ustcsse/papers/SR10.ZigBee.pdf
Ernst & Young (2012) Smart grid: a race worth winning? A report on the economic benefits of the smart grid. London. Accessed 6 July 2020. [Online]. Available: http://www.ourenergypolicy.org/wp-content/uploads/2016/03/EY-Smart-Grid-a-race-worth-winning.pdf
ESRI. Making the connection. Electricity: how location information is improving operational intelligence. https://www.esri.com/~/media/32DC3F5853C24D7E8E31618E10B30C6B. Accessed 31 July 2020
Fadaeenejad M, Saberian AM, Fadaee M, Radzi MAM, Hizam H, AbKadir MZA (2014) The present and future of smart power grid in developing countries. Renew Sust Energ Rev 29:828–834
Fang X, Misra S, Xue G, Yang D (2012) Smart grid—the new and improved power grid: a survey. IEEE Commun Surv Tutor 14(4):944–980
Farrokhifar M, Momayyezi F, Sadoogi N, Safari A (2018) Real-time based approach for intelligent building energy management using dynamic price policies. Sustain Cities Soc 37:85. https://doi.org/10.1016/j.scs.2017.11.011
Finster S, Baumgart I (2014) Privacy-aware smart metering: a survey. IEEE Commun Surv Tutor 16(3):1732–1745
Fontenot H, Dong B (2019) Modeling and control of building-integrated microgrids for optimal energy management – a review. Appl Energy 254. https://doi.org/10.1016/j.apenergy.2019.113689
Fouda MM, Fadlullah ZM, Kato N, Lu R, Shen X (2011) A lightweight message authentication scheme for smart grid communications. IEEE Trans Smart Grid 2(4):675–685
Galli S, Scaglione A, Wang Z (2011) For the grid and through the grid: the role of power line communications in the smart grid. Proc IEEE 99(6):998–1027
Ghaffarianhoseini A et al (2016) What is an intelligent building? Analysis of recent interpretations from an international perspective. Archit Sci Rev 59:338. https://doi.org/10.1080/00038628.2015.1079164
Ghofrani A, Nazemi SD, Jafari MA (2019) HVAC load synchronization in smart building communities. Sustain Cities Soc. https://doi.org/10.1016/j.scs.2019.101741
Ghorbanian M, Dolatabadi SH, Masjedi M, Siano P (2019) Communication in smart grids: a comprehensive review on the existing and future communication and information infrastructures. IEEE Syst J 13(4):4001–4014
Giani A, Bitar E, Garcia M, McQueen M, Khargonekar P, Poolla K (2011) Smart grid data integrity attacks: characterizations and countermeasures. In: 2011 IEEE international conference on Smart Grid Communications (SmartGridComm), pp 232–237. Accessed 17 June 2014. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6102324
Giordano V et al (2011) Smart Grid projects in Europe: lessons learned and current developments. JRC Reference Representative of Publications Office of the European Union
Giordano V, Onyeji I, Fulli G, Jimenez MS, Filiou C (2012) Guidelines for conducting a cost-benefit analysis of smart grid projects. European Commission JRC report, Westerduinweg 3, 1755 LE Petten, The Netherlands. Accessed 6 July 2020. [Online]. Available: https://publications.jrc.ec.europa.eu/repository/bitstream/JRC67964/2012.2783-jrc_rr_cba_for_smart_grids_(online).pdf
GridWise Alliance and US-DOE (2014) The future of the grid evolving to meet America’s needs. US Department of Energy
Gu F, Niu J, Jiang L, Liu X, Atiquzzaman M (2020) Survey of the low power wide area network technologies. J Netw Comput Appl 149:102459. https://doi.org/10.1016/j.jnca.2019.102459
Gumerman EZ, Bharvirkar RR, LaCommare KH, Marnay C (2003) Evaluation framework and tools for distributed energy resources. Lawrence Berkeley National Lab. (LBNL), Berkeley
Gungor VC, Lambert FC (2006) A survey on communication networks for electric system automation. Comput Netw 50(7):877–897
Gungor VC et al (2011) Smart grid technologies: communication technologies and standards. IEEE Trans Ind Inf 7(4):529–539
Hosseinzadeh N, Mousavi A, Teirab A, Varzandeh S, Al-Hinai A (2019) Real-time monitoring and control of a microgrid-pilot project: hardware and software. In: 2019 29th Australasian Universities Power Engineering Conference (AUPEC), pp 1–6
Huang J et al (2019) Research on smart grid planning and construction based on GIS resource allocation technology. IOP Conf Ser Earth Environ Sci 300(4):042076
Hui H, Ding Y, Shi Q, Li F, Song Y, Yan J (2020) 5G network-based Internet of Things for demand response in smart grid: a survey on application potential. Appl Energy 257:113972
IEA (2020) Smart grids. Paris. Accessed 6 July 2020. [Online]. Available: https://www.iea.org/reports/smart-grids
International Energy Agency (2002) Distributed generation in liberalised electricity markets. OECD Publishing, Paris
International Energy Agency (2003) The power to choose: demand response in liberalised electricity markets. OECD Publishing, Paris
International Energy Agency (2019) Perspective for the clean energy transition 2019
International Renewable Energy Agency (IRENA) (2013) Smart grids and renewables: a guide for effective deployment. https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2013/smart_grids.pdf. Accessed 3 July 2020
IqtiyaniIlham N, Hasanuzzaman M, Hosenuzzaman M (2017) European smart grid prospects, policies, and challenges. Renew Sust Energ Rev 67:776–790
Ivanković I, Kuzle I, Holjevac N (2018) Algorithm for fast and efficient detection and reaction to angle instability conditions using phasor measurement unit data. Energies 11(3):681
Jabarullah NH, Shabbir MS, Abbas M, Siddiqi AF, Berti S (2019) Using random inquiry optimization method for provision of heat and cooling demand in hub systems for smart buildings. Sustain Cities Soc 47:101475. https://doi.org/10.1016/j.scs.2019.101475
Jackson J (2011) The utility smart grid business case: problems, pitfalls and ten realworld recommendations. Smart Grid Res Consort Rep. Accessed 6 July 2020. [Online]. Available: http://smartgridresearchconsortium.org/utility_smart_grid_business_case.pdf
Jia M, Komeily A, Wang Y, Srinivasan RS (2019) Adopting Internet of Things for the development of smart buildings: a review of enabling technologies and applications. Autom Constr 101:111. https://doi.org/10.1016/j.autcon.2019.01.023
Jung M, Yeung P. Connecting SMART grid & climate change. Climate Change. https://www.smartgrid.gov/files/documents/Connecting_Smart_Grid_Climate_Change_201106.pdf. Accessed 3 July 2020
Kastner W, Neugschwandtner G, Soucek S, Newman HM (2005) Communication systems for building automation and control. Solar Energy 93:1178. https://doi.org/10.1109/JPROC.2005.849726
Khorov E, Kiryanov A, Lyakhov A, Bianchi G (2018) A tutorial on IEEE 802.11 ax high efficiency WLANs. EEE Commun Surv Tutor 21(1):197–216
Kiliccote S, Piette MA, Ghatikar G (2011) Smart buildings and demand response. AIP Conf Proc 1401:328–338. https://doi.org/10.1063/1.3653861
King C. Advanced Metering Infrastructure (AMI). www.oregon.gov/PUC/electric_gas/010605/king.pdf?ga=t. Accessed 31 Dec 2012
Kolokotsa D (2016) The role of smart grids in the building sector. Energy Build 116:703–708. https://doi.org/10.1016/j.enbuild.2015.12.033
Kolokotsa D, Rovas D, Kosmatopoulos E, Kalaitzakis K (2011) A roadmap towards intelligent net zero- and positive-energy buildings. Solar Energy (12):85, 3067. https://doi.org/10.1016/j.solener.2010.09.001
La QD, Chan YWE, Soong BH (2016) Power Management of Intelligent Buildings Facilitated by smart grid: a market approach. IEEE Trans Smart Grid 7:1389. https://doi.org/10.1109/TSG.2015.2477852
Lavric A, Petrariu AI, Popa V (2019) Long range sigfox communication protocol scalability analysis under large-scale, high-density conditions. IEEE Access 7:35816–35825
Lawrence TM et al (2016) Ten questions concerning integrating smart buildings into the smart grid. Build Environ 108:273. https://doi.org/10.1016/j.buildenv.2016.08.022
Li Z, Dong B (2018) Short term predictions of occupancy in commercial buildings—performance analysis for stochastic models and machine learning approaches, vol 158. Energy Build, p 268. https://doi.org/10.1016/j.enbuild.2017.09.052
Li X, Liang X, Lu R, Shen X, Lin X, Zhu H (2012) Securing smart grid: cyber attacks, countermeasures, and challenges. IEEE Commun Mag 50(8):38–45
Li X, Wen J, Malkawi A (2016) An operation optimization and decision framework for a building cluster with distributed energy systems. Appl Energy 178:98. https://doi.org/10.1016/j.apenergy.2016.06.030
Li Y, Kubicki S, Guerriero A, Rezgui Y (2019) Review of building energy performance certification schemes towards future improvement. Renew Sustain Energy Rev 113:109244. https://doi.org/10.1016/j.rser.2019.109244
Lin H, Sambamoorthy S, Shukla S, Thorp J, Mili L (2011) Power system and communication network co-simulation for smart grid applications. In: 2011 IEEE PES Innovative Smart Grid Technologies (ISGT), pp 1–6. Accessed 17 June 2014. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5759166
Liu J, Li X, Chen X, Zhen Y, Zeng L (2011) Applications of Internet of Things on smart grid in China. In: 2011 13th International Conference on Advanced Communication Technology (ICACT), pp 13–17. Accessed 28 Oct 2014. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5745734
Liu J, Chen X, Cao S, Yang H (2019) Overview on hybrid solar photovoltaic-electrical energy storage technologies for power supply to buildings. Energy Convers Manag. https://doi.org/10.1016/j.enconman.2019.02.080
Malik AS, Bouzguenda M (2013) Effects of smart grid technologies on capacity and energy savings–a case study of Oman. Energy 54:365–371
Malik AS, Albadi M, Al-Jabri M, Bani-Araba A, Al-Ameri A, Al Shehhi A (2018) Smart grid scenarios and their impact on strategic plan—a case study of Omani power sector. Sustain Cities Soc 37:213–221
Markovic DS, Zivkovic D, Branovic I, Popovic R, Cvetkovic D (2013) Smart power grid and cloud computing. Renew Sust Energ Rev 24:566–577. https://doi.org/10.1016/j.rser.2013.03.068
Mehmood MU, Chun D, Zeeshan HH, Jeon G, Chen K (2019) A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment. Energy Build 202:109383. https://doi.org/10.1016/j.enbuild.2019.109383
Meloni A, Atzori L (2017) The role of satellite communications in the smart grid. IEEE Wirel Commun 24(2):50–56
Mo Y et al (2012) Cyber–physical security of a smart grid infrastructure. Proc IEEE 100(1):195–209
Najafi-Ghalelou A, Zare K, Nojavan S (2018) Optimal scheduling of multi-smart buildings energy consumption considering power exchange capability. Sustain Cities Soc 41:73. https://doi.org/10.1016/j.scs.2018.05.029
Nibler V, Masiello R (2009) Handbook for assessing smart grid projects. Prepared by KEMA Inc. for GridWise Alliance. Accessed 1 July 2020. [Online]. Available: http://www.itrco.jp/libraries/SGCLessonLearned2-3.pdf
Norair JP (2009). Introduction to DASH7 technologies. Dash7 Alliance Low Power RF technologies Overview. Accessed 14 Oct 2014. [Online]. Available: https://dash7.memberclicks.net/assets/PDF/dash7%20wp%20ed1.pdf
Oksman V et al (2019) MGFAST: a new generation of copper broadband access. IEEE Commun Mag 57(8):14–21
Oldewurtel F et al (2012) Use of model predictive control and weather forecasts for energy efficient building climate control. Energy Build 45:15. https://doi.org/10.1016/j.enbuild.2011.09.022
Oliveira-Lima JA, Delgado-Gomes V, Martins JF, Lima C (2014) Standard-based service-oriented infrastructure to integrate intelligent buildings in distributed generation and smart grids. Energy Build 76:450. https://doi.org/10.1016/j.enbuild.2014.03.013
Oree V, Hassen SZS, Fleming PJ (2017) Generation expansion planning optimisation with renewable energy integration: a review. Renew Sust Energ Rev 69:790–803
Oskouei MZ, Mohammadi-Ivatloo B, Abapour M, Ahmadian A, Piran MJ (2020) A novel economic structure to improve the energy label in smart residential buildings under energy efficiency programs. J Clean Prod 260:121059. https://doi.org/10.1016/j.jclepro.2020.121059
Qolomany B et al (2019) Leveraging machine learning and big data for smart buildings: a comprehensive survey. IEEE Access 7:90316. https://doi.org/10.1109/ACCESS.2019.2926642
Reka SS, Dragicevic T (2018) Future effectual role of energy delivery: a comprehensive review of Internet of Things and smart grid. Renew Sust Energy Rev 91:90. https://doi.org/10.1016/j.rser.2018.03.089
S. G. C. Collaborative (2013) Smart grid economic and environmental benefits: a review and synthesis of research on smart grid benefits and costs, Atlanta
Saelens M, Hoebeke J, Shahid A, De Poorter E (2019) Impact of EU duty cycle and transmission power limitations for sub-GHz LPWAN SRDs: an overview and future challenges. EURASIP J Wirel Commun Netw 2019(1):219
Salehi J, Namvar A, Gazijahani FS (2019) Scenario-based Co-Optimization of neighboring multi carrier smart buildings under demand response exchange. J Clean Prod 235:1483. https://doi.org/10.1016/j.jclepro.2019.07.068
Sanchez-Iborra R, Sanchez-Gomez J, Ballesta-Viñas J, Cano M-D, Skarmeta AF (2018) Performance evaluation of LoRa considering scenario conditions. Sensors 18(3):772
Smith SW (2012) Cryptographic scalability challenges in the smart grid. In: ISGT, pp 1–3. Accessed 18 Oct 2014. [Online]. Available: http://www.cs.dartmouth.edu/~sws/pubs/gridpki.pdf
Software Engineering Institute at Carnegie Mellon University. Smart Grid Maturity Model assets collection, Version 1.2. Accessed 6 July 2020. https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=512758
SRA 2035 (n.d.). http://www.futured.es/wp-content/uploads/downloads/2012/04/sra2035.pdf
Su H-Y, Liu T-Y (2017) A PMU-based method for smart transmission grid voltage security visualization and monitoring. Energies 10(8):1103
Sutterlin P, Downey W (1999) A power line communication tutorial-challenges and technologies. In: International Symposium on Power-Line Communications and its Applications, pag, pp 15–29. Accessed 4 Aug 2014. [Online]. Available: http://www.itk.ntnu.no/fag/TTK4545/TTK2/Pensum-filer/PowerLineCommunication.pdf
The Smart Grid Interoperability Panel and Cyber Security Working Group. (n.d.) NISTIR 7628 Guidelines for Smart Grid Cyber Security. [Online]. Available: http://www.nist.gov/smartgrid/upload/nistir-7628_total.pdf
The University of Genoa (Italy). Sustainable Energy Building (SEB). http://www.energia2020.unige.it/en/la-sustainable-energy-building-seb/. Accessed: 6/07/2020
The ZigBee Alliance (n.d.) [Online]. Available: http://www.zigbee.org
The Z-Wave alliance (n.d.) [Online]. Available: http://www.z-wavealliance.org/
Timberg C, Simovic U (2019) The future of the utility field area network. Nat Gas Electr 35(12):8–15
U. S. Department of Energy (2006) Benefits of demand response in electricity markets and recommendations for achieving them. A report to the United States Congress
United Nations. UN climate change summit 2019. https://www.un.org/en/climatechange/un-climate-summit-2019.shtml. Accessed 3 July 2020
Usman A, Shami SH (2013) Evolution of communication technologies for smart grid applications. Renew Sust Energ Rev 19:191–199
Valero S, Ortiz M, Senabre C, Alvarez C, Franco FJG, Gabaldon A (2007) Methods for customer and demand response policies selection in new electricity markets. IET Gener Transm Distrib 1(1):104–110
Vanaga R, Blumberga A, Freimanis R, Mols T, Blumberga D (2018) Solar facade module for nearly zero energy building. Energy 157:1025. https://doi.org/10.1016/j.energy.2018.04.167
Vournas CD, Lambrou C, Mandoulidis P (2016) Voltage stability monitoring from a transmission bus PMU. IEEE Trans Power Syst 32(4):3266–3274
Wang Z, Wang L, Dounis AI, Yang R (2012) Integration of plug-in hybrid electric vehicles into energy and comfort management for smart building. Energy Build 47:260. https://doi.org/10.1016/j.enbuild.2011.11.048
Wang Y, Wang B, Chu CC, Pota H, Gadh R (2016) Energy management for a commercial building microgrid with stationary and mobile battery storage. Energy Build 116:141. https://doi.org/10.1016/j.enbuild.2015.12.055
Winfield M, Weiler S (2018) Institutional diversity, policy niches, and smart grids: a review of the evolution of Smart Grid policy and practice in Ontario, Canada. Renew Sust Energ Rev 82:1931–1938
Wurtz F, Delinchant B (2017) ‘Smart buildings’ integrated in ‘smart grids’: a key challenge for the energy transition by using physical models and optimization with a ‘human-in-the-loop’ approach. Comptes Rendus Phys 18:428. https://doi.org/10.1016/j.crhy.2017.09.007
Yan Y, Qian Y, Sharif H (2011) A secure and reliable in-network collaborative communication scheme for advanced metering infrastructure in smart grid. In: 2011 IEEE Wireless Communications and Networking Conference (WCNC), pp 909–914. Accessed 17 Oct 2014. [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5779257
Yang R, Wang L (2012) Multi-objective optimization for decision-making of energy and comfort management in building automation and control. Sustain Cities Soc 2:1. https://doi.org/10.1016/j.scs.2011.09.001
Yi P, Iwayemi A, Zhou C (2011) Developing ZigBee deployment guideline under WiFi interference for smart grid applications. IEEE Trans Smart Grid 2(1):110–120
Yu R, Zhang Y, Gjessing S, Yuen C, Xie S, Guizani M (2011) Cognitive radio based hierarchical communications infrastructure for smart grid. IEEE Network 25(5):6–14
Zanjani MGM, Mazlumi K, Kamwa I (2019) Combined analysis of distribution-level PMU data with transmission-level PMU for early detection of long-term voltage instability. IET Gener Transm Distrib 13(16):3634–3641
Zekić-Sušac M, Mitrović S, Has A (2020) Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities. Int J Inf Manag:102074. https://doi.org/10.1016/j.ijinfomgt.2020.102074
Zhu S, Wu L, Mousavian S, Roh JH (2018) An optimal joint placement of PMUs and flow measurements for ensuring power system observability under N-2 transmission contingencies. Int J Electr Power Energy Syst 95:254–265
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Al Abri, D., Malik, A.S., Al-Saadi, S., Albadi, M., Charabi, Y., Hosseinzadeh, N. (2022). Smart Grids and Smart Buildings. In: Lackner, M., Sajjadi, B., Chen, WY. (eds) Handbook of Climate Change Mitigation and Adaptation. Springer, Cham. https://doi.org/10.1007/978-3-030-72579-2_78
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