- Almusaylim Z.A.; Zaman N. A review on smart home present state and challenges: Linked to context-awareness internet of things (IoT). Wirel. Netw. 2018, 25, 3193-3204.
Paper not yet in RePEc: Add citation now
Aoun A.; Ibrahim H.; Ghandour M.; Ilinca A. Supply Side Management vs. Demand Side Management of a Residential Microgrid Equipped with an Electric Vehicle in a Dual Tariff Scheme. Energies 2019, 12.
Arif S.M.; Lie T.T.; Seet B.C.; Ahsan S.M.; Khan H.A. Plug-In Electric Bus Depot Charging with PV and ESS and Their Impact on LV Feeder. Energies 2020, 13. IBM ILOG CPLEX Optimization Studio.
- Arora J.S. Multi-objective Optimum Design Concepts and Methods. Introduction to Optimum Design; Elsevier: Cambridge, MA, USA, 2017; pp. 771-794.
Paper not yet in RePEc: Add citation now
- Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them; U.S. Department of Energy: Washington, DC, USA, 2006.
Paper not yet in RePEc: Add citation now
- Ejaz W.; Naeem M.; Shahid A.; Anpalagan A.; Jo M. Efficient energy management for the internet of things in smart cities. IEEE Commun. Mag. 2017, 55, 84-91.
Paper not yet in RePEc: Add citation now
- He Y.; Venkatesh B.; Guan L. Optimal Scheduling for Charging and Discharging of Electric Vehicles. IEEE Trans. Smart Grid 2012, 3, 1095-1105.
Paper not yet in RePEc: Add citation now
Hussain H.; Javaid N.; Iqbal S.; Hasan Q.; Aurangzeb K.; Alhussein M. An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid. Energies 2018, 11.
Ioakimidis C.S.; Thomas D.; Rycerski P.; Genikomsakis K.N. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot. Energy 2018, 148, 148-158.
- Ito A.; Kawashima A.; Suzuki T.; Inagaki S.; Yamaguchi T.; Zhou Z. Model Predictive Charging Control of In-Vehicle Batteries for Home Energy Management Based on Vehicle State Prediction. IEEE Trans. Control. Syst. Technol. 2018, 26, 51-64.
Paper not yet in RePEc: Add citation now
- Joo I.-Y.; Choi D.-H. Optimal household appliance scheduling considering consumer’s electricity bill target. IEEE Trans. Consum. Electron. 2017, 63, 19-27.
Paper not yet in RePEc: Add citation now
- Khan A.; Javaid N.; Khan M.I. Time and device based priority induced comfort management in smart home within the consumer budget limitation. Sustain. Cities Soc. 2018, 41, 538-555.
Paper not yet in RePEc: Add citation now
- Khedekar D.C.; Truco A.C.; Oteyza D.A.; Huertas G.F. Home Automation-A Fast-Expanding Market. Thunderbird Int. Bus. Rev. 2017, 59, 79-91. Chauhan A.S. How AI Is Transforming Home Automation.
Paper not yet in RePEc: Add citation now
- Kikusato H.; Mori K.; Yoshizawa S.; Fujimoto Y.; Asano H.; Hayashi Y.; Kawashima A.; Inagaki S.; Suzuki T. Electric Vehicle Charge–Discharge Management for Utilization of Photovoltaic by Coordination Between Home and Grid Energy Management Systems. IEEE Trans. Smart Grid 2019, 10, 3186-3197. Pecan Street. Tang Y.; Sakai K.; Luo S.; Zhao Y. AI in Depth: Monitoring Home Appliances from Power Readings with ML. WIKIPEDIA Percentil Rank.
Paper not yet in RePEc: Add citation now
- Li K.; Zhang P.; Li G.; Wang F.; Mi Z.; Chen H. Day-Ahead Optimal Joint Scheduling Model of Electric and Natural Gas Appliances for Home Integrated Energy Management. IEEE Access 2019, 7, 133628-133640.
Paper not yet in RePEc: Add citation now
- Ma Y.; Houghton T.; Cruden A.; Infield D. Modeling the Benefits of Vehicle-to-Grid Technology to a Power System. IEEE Trans. Power Syst. 2012, 27, 1012-1020.
Paper not yet in RePEc: Add citation now
- Nguyen D.T.; Le L.B. Joint Optimization of Electric Vehicle and Home Energy Scheduling Considering User Comfort Preference. IEEE Trans. Smart Grid 2014, 5, 188-199.
Paper not yet in RePEc: Add citation now
- Paranjape Z.W.U.M.R. Stochastic Optimization for Residential Demand Response under Time of Use. Proceedings of the IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), Cochin, India, 2–4 January 2020, .
Paper not yet in RePEc: Add citation now
Parida B.; Iniyan S.; Goic R. A review of solar photovoltaic technologies. Renew. Sustain. Energy Rev. 2011, 15, 1625-1636.
- Phuangpornpitak N.; Tia S. Opportunities and Challenges of Integrating Renewable Energy in Smart Grid System. Energy Procedia 2013, 34, 282-290.
Paper not yet in RePEc: Add citation now
- Rastegar M. Impacts of Residential Energy Management on Reliability of Distribution Systems Considering a Customer Satisfaction Model. IEEE Trans. Power Syst. 2018, 33, 6062-6073.
Paper not yet in RePEc: Add citation now
- Setlhaolo D.; Xia X.; Zhang J. Optimal scheduling of household appliances for demand response. Electr. Power Syst. Res. 2014, 116, 24-28.
Paper not yet in RePEc: Add citation now
- Shoji T.; Hirohashi W.; Fujimoto Y.; Hayashi Y. Home Energy Management Based on Bayesian Network Considering Resident Convenience. Proceedings of the 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Durham, UK, 7–10 July 2014, 2014; pp. 1-6.
Paper not yet in RePEc: Add citation now
Tan K.M.; Ramachandaramurthy V.K.; Yong J.Y. Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques. Renew. Sustain. Energy Rev. 2016, 53, 720-732.
- Tushar M.H.K.; Assi C.; Maier M.; Uddin M.F. Smart microgrids: Optimal joint scheduling for electric vehicles and home appliances. IEEE Trans. Smart Grid 2014, 5, 239-250.
Paper not yet in RePEc: Add citation now
- Uribe-Pérez N.; Hernández L.; de la Vega D.; Angulo I. State of the Art and Trends Review of Smart Metering in Electricity Grids. Appl. Sci. 2016, 6.
Paper not yet in RePEc: Add citation now
- Veras J.M.; Silva I.R.S.; Pinheiro P.R.; Rabelo R.A.L.; Veloso A.F.S.; Borges F.A.S.; Rodrigues J. A Multi-Objective Demand Response Optimization Model for Scheduling Loads in a Home Energy Management System. Sensors 2018, 18.
Paper not yet in RePEc: Add citation now
- Yahia Z.; Pradhan A. Multi-objective optimization of household appliance scheduling problem considering consumer preference and peak load reduction. Sustain. Cities Soc. 2020, 55, 102058.
Paper not yet in RePEc: Add citation now
Yoldaş Y.; Önen A.; Muyeen S.M.; Vasilakos A.V.; Alan İ. Enhancing smart grid with microgrids: Challenges and opportunities. Renew. Sustain. Energy Rev. 2017, 72, 205-214.
- Zhao L.; Yang Z.; Lee W.-J. The Impact of Time-of-Use (TOU) Rate Structure on Consumption Patterns of the Residential Customers. IEEE Trans. Ind. Appl. 2017, 53, 5130-5138.
Paper not yet in RePEc: Add citation now
Zhu J.; Lin Y.; Lei W.; Liu Y.; Tao M. Optimal household appliances scheduling of multiple smart homes using an improved cooperative algorithm. Energy 2019, 171, 944-955.
- Zhu Z.; Tang J.; Lambotharan S.; Chin W.H.; Fan Z. An Integer Linear Programming and Game Theory Based Optimization for Demand Side Management in Smart Grid. Proceedings of the 2011 IEEE GLOBECOM Workshops (GC Wkshps), Houston, TX, USA, 5–9 December 2011, ; pp. 1205-1210.
Paper not yet in RePEc: Add citation now