Multi-objective optimal scheduling of household appliances for demand side management using a hybrid heuristic algorithm
In the era of smart grids and the Internet of Things, demand side management, which aims to reduce electricity bills while increasing user satisfaction by scheduling appliances properly, becomes imperative for residential consumers. As a result of the conflict between the two objectives, it is impos...
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| Published in: | Energy (Oxford) Vol. 262; p. 125460 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.01.2023
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| ISSN: | 0360-5442 |
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| Abstract | In the era of smart grids and the Internet of Things, demand side management, which aims to reduce electricity bills while increasing user satisfaction by scheduling appliances properly, becomes imperative for residential consumers. As a result of the conflict between the two objectives, it is impossible to optimize them simultaneously. Nevertheless, using multi-objective optimization approaches, trade-off solutions can be obtained. In this paper, a novel demand-side management method is presented to manage the operation of residential appliances. In the beginning, appliances are divided into interruptible, non-interruptible, and power-shiftable types according to their operating characteristics and the user’s preferences. And the mathematical models are built accordingly. Then, a multi-objective optimization problem is formulated to minimize the electricity cost and user dissatisfaction, in which residents’ tolerance to discomfort is considered. Since it is a multi-objective mixed integer nonlinear programming problem, a hybrid meta-heuristic algorithm is proposed to solve it efficiently. The experiment results have confirmed the effectiveness of the optimization model and the higher efficiency of the hybrid algorithm. Furthermore, a case study has been performed to demonstrate the effectiveness of the scheduling method.
•Multi-objective problem formulation considering cost and user satisfaction.•User’s tolerance to discomfort is considered.•A hybrid algorithm containing MOPSO and NSGA-II is developed.•Providing users an explicit cost-satisfaction analysis.•TOPSIS approach is used to select the trade-off solution. |
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| AbstractList | In the era of smart grids and the Internet of Things, demand side management, which aims to reduce electricity bills while increasing user satisfaction by scheduling appliances properly, becomes imperative for residential consumers. As a result of the conflict between the two objectives, it is impossible to optimize them simultaneously. Nevertheless, using multi-objective optimization approaches, trade-off solutions can be obtained. In this paper, a novel demand-side management method is presented to manage the operation of residential appliances. In the beginning, appliances are divided into interruptible, non-interruptible, and power-shiftable types according to their operating characteristics and the user’s preferences. And the mathematical models are built accordingly. Then, a multi-objective optimization problem is formulated to minimize the electricity cost and user dissatisfaction, in which residents’ tolerance to discomfort is considered. Since it is a multi-objective mixed integer nonlinear programming problem, a hybrid meta-heuristic algorithm is proposed to solve it efficiently. The experiment results have confirmed the effectiveness of the optimization model and the higher efficiency of the hybrid algorithm. Furthermore, a case study has been performed to demonstrate the effectiveness of the scheduling method. In the era of smart grids and the Internet of Things, demand side management, which aims to reduce electricity bills while increasing user satisfaction by scheduling appliances properly, becomes imperative for residential consumers. As a result of the conflict between the two objectives, it is impossible to optimize them simultaneously. Nevertheless, using multi-objective optimization approaches, trade-off solutions can be obtained. In this paper, a novel demand-side management method is presented to manage the operation of residential appliances. In the beginning, appliances are divided into interruptible, non-interruptible, and power-shiftable types according to their operating characteristics and the user’s preferences. And the mathematical models are built accordingly. Then, a multi-objective optimization problem is formulated to minimize the electricity cost and user dissatisfaction, in which residents’ tolerance to discomfort is considered. Since it is a multi-objective mixed integer nonlinear programming problem, a hybrid meta-heuristic algorithm is proposed to solve it efficiently. The experiment results have confirmed the effectiveness of the optimization model and the higher efficiency of the hybrid algorithm. Furthermore, a case study has been performed to demonstrate the effectiveness of the scheduling method. •Multi-objective problem formulation considering cost and user satisfaction.•User’s tolerance to discomfort is considered.•A hybrid algorithm containing MOPSO and NSGA-II is developed.•Providing users an explicit cost-satisfaction analysis.•TOPSIS approach is used to select the trade-off solution. |
| ArticleNumber | 125460 |
| Author | Liu, Youquan Lei, Weidong Lin, Yishuai Li, Huazhen Zhu, Jiawei |
| Author_xml | – sequence: 1 givenname: Youquan surname: Liu fullname: Liu, Youquan organization: School of Information Engineering, Chang’an University, Xi’an, Shaanxi 710064, China – sequence: 2 givenname: Huazhen surname: Li fullname: Li, Huazhen organization: School of Information Engineering, Chang’an University, Xi’an, Shaanxi 710064, China – sequence: 3 givenname: Jiawei orcidid: 0000-0002-2788-1376 surname: Zhu fullname: Zhu, Jiawei email: jiawei.zhu@chd.edu.cn organization: School of Information Engineering, Chang’an University, Xi’an, Shaanxi 710064, China – sequence: 4 givenname: Yishuai surname: Lin fullname: Lin, Yishuai organization: School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China – sequence: 5 givenname: Weidong orcidid: 0000-0003-1296-3915 surname: Lei fullname: Lei, Weidong organization: School of Management, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, China |
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| Cites_doi | 10.1016/j.apenergy.2019.114289 10.1109/TIA.2017.2781639 10.1109/TSG.2012.2226065 10.1016/j.apenergy.2020.114690 10.1016/j.energy.2020.119473 10.1016/j.energy.2019.07.045 10.1016/j.energy.2020.117951 10.1007/s10710-005-6164-x 10.1109/TSG.2012.2218835 10.1016/j.epsr.2020.106477 10.1016/j.energy.2020.118602 10.1016/j.energy.2019.01.025 10.1016/j.energy.2014.05.101 10.1016/j.energy.2021.122774 10.1504/IJAHUC.2019.098863 10.1016/j.energy.2020.118022 10.1109/4235.797969 10.1109/MCI.2019.2919398 10.1016/j.asoc.2016.01.033 10.1016/0305-0548(93)90109-V 10.1016/j.energy.2021.119984 10.1109/TSG.2010.2053053 10.1007/s00500-008-0394-9 10.1016/j.energy.2018.12.185 10.1016/j.energy.2022.124146 10.1109/JIOT.2018.2872463 10.1109/4235.996017 10.1016/j.energy.2022.123180 10.1016/j.energy.2020.118568 10.1016/j.energy.2022.124360 10.1016/j.scs.2018.05.053 10.1109/TEVC.2013.2296151 10.1016/j.apenergy.2019.114322 10.1016/j.energy.2020.119516 10.1016/j.apenergy.2021.117361 |
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| Keywords | Mixed integer nonlinear programming problem Residential appliance scheduling Demand side management Multi-objective optimization Meta-heuristic algorithm Smart grid |
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| References | Monfared, Ghasemi, Loni, Marzband (b5) 2019; 185 Vijayan, Mohapatra, Singh (b24) 2021; 300 Han, Gong, Jin, ke Pan (b29) 2016; 42 Tsui, Chan (b6) 2012; 3 Zhu, Lin, Lei, Liu, Tao (b30) 2019; 171 Wang, Wu, Yuan (b40) 2009; 14 Sarker, Seyedmahmoudian, Jamei, Horan, Stojcevski (b10) 2020; 210 Wang, Ma, Song, Ma, Qi, Huang (b27) 2020; 205 Van Veldhuizen (b37) 1999 Wang, Liu, Li, Zhou, Wu (b15) 2020; 204 Li, Yang, Song, Chen (b8) 2019; 6 Tostado-Véliz, Kamel, Aymen, Jurado (b21) 2022; 253 Hwang, Lai, Liu (b35) 1993; 20 Rajani, Kommula (b9) 2022; 245 Wang, Zhang, Fu, Ran (b11) 2021; 218 Pamulapati, Mallipeddi, Lee (b19) 2020; 267 Schott (b41) 1995 Deb K, Jain S. Running performance Metrics for evolutionary multi-objective optimization. Technical report, 2002. (b2) 2019 Reddy (b22) 2017; 32 Pedrasa, Spooner, MacGill (b31) 2010; 1 Tian, Cheng, Zhang, Li, Jin (b43) 2019; 14 Golpira, Khan (b17) 2019; 170 Yu, Sun, Chen, Fu, Hu (b26) 2022; 240 Javadi, Gough, Lotfi, Esmaeel Nezhad, Santos, Catalão (b13) 2020; 210 Haider, Muhsen, Al-Nidawi, Khatib, See (b20) 2022; 254 Coello Coello, Lechuga (b33) 2002; Vol. 2 Chen, Wei, Hu (b3) 2013; 4 Zhu, Lauri, Koukam, Hilaire, Lin, Liu (b14) 2019; 30 Salata, Ciancio, Dell’Olmo, Golasi, Palusci, Coppi (b32) 2020; 260 Dengiz, Jochem, Fichtner (b18) 2021; 223 Wang, Zhou, Ren, Liu, Talari, Shafie-khah (b1) 2018; 54 Nizami, Hossain, Amin, Fernandez (b4) 2020; 261 Khan, Javaid, Khan (b7) 2018; 41 Waseem, Lin, Liu, Sajjad, Aziz (b12) 2020; 187 Zhao, Chen, Deng, Zhang, Yang (b23) 2021 Deb, Pratap, Agarwal, Meyarivan (b25) 2002; 6 Soares, Antunes, Oliveira, Gomes (b28) 2014; 77 Zitzler, Thiele (b39) 1999; 3 Coello, Cortés (b38) 2005; 6 Hlalele, Zhang, Naidoo, Bansal (b16) 2021; 218 Deb, Thiele, Laumanns, Zitzler (b36) 2002; Vol. 1 Hu, Yen (b34) 2015; 19 Coello Coello (10.1016/j.energy.2022.125460_b33) 2002; Vol. 2 Khan (10.1016/j.energy.2022.125460_b7) 2018; 41 Hu (10.1016/j.energy.2022.125460_b34) 2015; 19 Zhu (10.1016/j.energy.2022.125460_b14) 2019; 30 Pamulapati (10.1016/j.energy.2022.125460_b19) 2020; 267 (10.1016/j.energy.2022.125460_b2) 2019 Hlalele (10.1016/j.energy.2022.125460_b16) 2021; 218 Zhu (10.1016/j.energy.2022.125460_b30) 2019; 171 Deb (10.1016/j.energy.2022.125460_b36) 2002; Vol. 1 Coello (10.1016/j.energy.2022.125460_b38) 2005; 6 Golpira (10.1016/j.energy.2022.125460_b17) 2019; 170 Reddy (10.1016/j.energy.2022.125460_b22) 2017; 32 Zhao (10.1016/j.energy.2022.125460_b23) 2021 Hwang (10.1016/j.energy.2022.125460_b35) 1993; 20 Dengiz (10.1016/j.energy.2022.125460_b18) 2021; 223 Deb (10.1016/j.energy.2022.125460_b25) 2002; 6 Tsui (10.1016/j.energy.2022.125460_b6) 2012; 3 Sarker (10.1016/j.energy.2022.125460_b10) 2020; 210 Tian (10.1016/j.energy.2022.125460_b43) 2019; 14 Van Veldhuizen (10.1016/j.energy.2022.125460_b37) 1999 Tostado-Véliz (10.1016/j.energy.2022.125460_b21) 2022; 253 Wang (10.1016/j.energy.2022.125460_b11) 2021; 218 Zitzler (10.1016/j.energy.2022.125460_b39) 1999; 3 Chen (10.1016/j.energy.2022.125460_b3) 2013; 4 Javadi (10.1016/j.energy.2022.125460_b13) 2020; 210 Wang (10.1016/j.energy.2022.125460_b27) 2020; 205 Schott (10.1016/j.energy.2022.125460_b41) 1995 Li (10.1016/j.energy.2022.125460_b8) 2019; 6 Waseem (10.1016/j.energy.2022.125460_b12) 2020; 187 10.1016/j.energy.2022.125460_b42 Monfared (10.1016/j.energy.2022.125460_b5) 2019; 185 Rajani (10.1016/j.energy.2022.125460_b9) 2022; 245 Vijayan (10.1016/j.energy.2022.125460_b24) 2021; 300 Salata (10.1016/j.energy.2022.125460_b32) 2020; 260 Wang (10.1016/j.energy.2022.125460_b15) 2020; 204 Haider (10.1016/j.energy.2022.125460_b20) 2022; 254 Pedrasa (10.1016/j.energy.2022.125460_b31) 2010; 1 Han (10.1016/j.energy.2022.125460_b29) 2016; 42 Wang (10.1016/j.energy.2022.125460_b40) 2009; 14 Yu (10.1016/j.energy.2022.125460_b26) 2022; 240 Soares (10.1016/j.energy.2022.125460_b28) 2014; 77 Nizami (10.1016/j.energy.2022.125460_b4) 2020; 261 Wang (10.1016/j.energy.2022.125460_b1) 2018; 54 |
| References_xml | – volume: 245 year: 2022 ident: b9 article-title: An optimal energy management among the electric vehicle charging stations and electricity distribution system using GPC-RERNN approach publication-title: Energy – volume: 6 start-page: 2602 year: 2019 end-page: 2611 ident: b8 article-title: A real-time electricity scheduling for residential home energy management publication-title: IEEE Internet Things J – volume: 19 start-page: 1 year: 2015 end-page: 18 ident: b34 article-title: Adaptive multiobjective particle swarm optimization based on parallel cell coordinate system publication-title: IEEE Trans Evol Comput – volume: 187 year: 2020 ident: b12 article-title: Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort publication-title: Electr Power Syst Res – volume: 3 start-page: 257 year: 1999 end-page: 271 ident: b39 article-title: Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach publication-title: IEEE Trans Evol Comput – volume: Vol. 1 start-page: 825 year: 2002 end-page: 830 ident: b36 article-title: Scalable multi-objective optimization test problems publication-title: Proceedings of the 2002 congress on evolutionary computation. CEC’02 (Cat. No.02TH8600) – volume: 42 start-page: 229 year: 2016 end-page: 245 ident: b29 article-title: Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time publication-title: Appl Soft Comput – volume: 30 start-page: 199 year: 2019 end-page: 214 ident: b14 article-title: A hybrid intelligent control based cyber-physical system for thermal comfort in smart homes publication-title: Int J Ad Hoc Ubiquitous Comput – volume: 254 year: 2022 ident: b20 article-title: A novel approach for multi-objective cost-peak optimization for demand response of a residential area in smart grids publication-title: Energy – volume: 240 year: 2022 ident: b26 article-title: Power demand response in the context of smart home application publication-title: Energy – volume: 218 year: 2021 ident: b16 article-title: Multi-objective economic dispatch with residential demand response programme under renewable obligation publication-title: Energy – volume: 6 start-page: 163 year: 2005 end-page: 190 ident: b38 article-title: Solving multiobjective optimization problems using an artificial immune system publication-title: Genet Program Evol Mach – start-page: 1506 year: 2021 end-page: 1511 ident: b23 article-title: Multi-objective coordinated operation of source-storage-load for residents based on SPEA2 publication-title: 2021 IEEE/IAS industrial and commercial power system asia (I CPS Asia) – volume: 260 year: 2020 ident: b32 article-title: Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms publication-title: Appl Energy – volume: 170 start-page: 1113 year: 2019 end-page: 1129 ident: b17 article-title: A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty publication-title: Energy – volume: 300 year: 2021 ident: b24 article-title: Demand response with volt/var optimization for unbalanced active distribution systems publication-title: Appl Energy – reference: Deb K, Jain S. Running performance Metrics for evolutionary multi-objective optimization. Technical report, 2002. – volume: 3 start-page: 1812 year: 2012 end-page: 1821 ident: b6 article-title: Demand response optimization for smart home scheduling under real-time pricing publication-title: IEEE Trans Smart Grid – volume: 204 year: 2020 ident: b15 article-title: Optimal scheduling of gas and electricity consumption in a smart home with a hybrid gas boiler and electric heating system publication-title: Energy – volume: 4 start-page: 932 year: 2013 end-page: 941 ident: b3 article-title: Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home publication-title: IEEE Trans Smart Grid – volume: 210 year: 2020 ident: b10 article-title: Optimal management of home loads with renewable energy integration and demand response strategy publication-title: Energy – volume: 267 year: 2020 ident: b19 article-title: Multi-objective home appliance scheduling with implicit and interactive user satisfaction modelling publication-title: Appl Energy – volume: 1 start-page: 134 year: 2010 end-page: 143 ident: b31 article-title: Coordinated scheduling of residential distributed energy resources to optimize smart home energy services publication-title: IEEE Trans Smart Grid – volume: 77 start-page: 144 year: 2014 end-page: 152 ident: b28 article-title: A multi-objective genetic approach to domestic load scheduling in an energy management system publication-title: Energy – volume: 223 year: 2021 ident: b18 article-title: Demand response through decentralized optimization in residential areas with wind and photovoltaics publication-title: Energy – volume: 14 start-page: 193 year: 2009 ident: b40 article-title: Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure publication-title: Soft Comput – volume: Vol. 2 start-page: 1051 year: 2002 end-page: 1056 ident: b33 article-title: MOPSO: a proposal for multiple objective particle swarm optimization publication-title: Proceedings of the 2002 congress on evolutionary computation. CEC’02 (Cat. No.02TH8600) – volume: 54 start-page: 1017 year: 2018 end-page: 1028 ident: b1 article-title: Multi-objective optimization model of source–load–storage synergetic dispatch for a building energy management system based on TOU price demand response publication-title: IEEE Trans Ind Appl – volume: 253 year: 2022 ident: b21 article-title: A novel hybrid lexicographic-IGDT methodology for robust multi-objective solution of home energy management systems publication-title: Energy – volume: 32 start-page: 852 year: 2017 end-page: 863 ident: b22 article-title: Multi-objective based congestion management using generation rescheduling and load shedding publication-title: IEEE Trans Power Syst – year: 1999 ident: b37 article-title: Multiobjective evolutionary algorithms: classifications, analyses, and new innovations – volume: 261 year: 2020 ident: b4 article-title: A residential energy management system with bi-level optimization-based bidding strategy for day-ahead bi-directional electricity trading publication-title: Appl Energy – volume: 218 year: 2021 ident: b11 article-title: Optimal design of home energy management strategy based on refined load model publication-title: Energy – volume: 20 start-page: 889 year: 1993 end-page: 899 ident: b35 article-title: A new approach for multiple objective decision making publication-title: Comput Oper Res – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: b25 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput – volume: 41 start-page: 538 year: 2018 end-page: 555 ident: b7 article-title: Time and device based priority induced comfort management in smart home within the consumer budget limitation publication-title: Sustainable Cities Soc – year: 1995 ident: b41 article-title: Fault tolerant design using single and multicriteria genetic algorithm optimization – volume: 205 year: 2020 ident: b27 article-title: Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response publication-title: Energy – year: 2019 ident: b2 article-title: Global energy statistical yearbook – volume: 210 year: 2020 ident: b13 article-title: Optimal self-scheduling of home energy management system in the presence of photovoltaic power generation and batteries publication-title: Energy – volume: 14 start-page: 61 year: 2019 end-page: 74 ident: b43 article-title: Diversity assessment of multi-objective evolutionary algorithms: Performance metric and benchmark problems [research frontier] publication-title: IEEE Comput Intell Magaz – volume: 185 start-page: 274 year: 2019 end-page: 285 ident: b5 article-title: A hybrid price-based demand response program for the residential micro-grid publication-title: Energy – volume: 171 start-page: 944 year: 2019 end-page: 955 ident: b30 article-title: Optimal household appliances scheduling of multiple smart homes using an improved cooperative algorithm publication-title: Energy – start-page: 1506 year: 2021 ident: 10.1016/j.energy.2022.125460_b23 article-title: Multi-objective coordinated operation of source-storage-load for residents based on SPEA2 – volume: 260 year: 2020 ident: 10.1016/j.energy.2022.125460_b32 article-title: Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms publication-title: Appl Energy doi: 10.1016/j.apenergy.2019.114289 – volume: 54 start-page: 1017 issue: 2 year: 2018 ident: 10.1016/j.energy.2022.125460_b1 article-title: Multi-objective optimization model of source–load–storage synergetic dispatch for a building energy management system based on TOU price demand response publication-title: IEEE Trans Ind Appl doi: 10.1109/TIA.2017.2781639 – volume: 4 start-page: 932 issue: 2 year: 2013 ident: 10.1016/j.energy.2022.125460_b3 article-title: Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2012.2226065 – volume: 267 year: 2020 ident: 10.1016/j.energy.2022.125460_b19 article-title: Multi-objective home appliance scheduling with implicit and interactive user satisfaction modelling publication-title: Appl Energy doi: 10.1016/j.apenergy.2020.114690 – volume: 218 year: 2021 ident: 10.1016/j.energy.2022.125460_b16 article-title: Multi-objective economic dispatch with residential demand response programme under renewable obligation publication-title: Energy doi: 10.1016/j.energy.2020.119473 – volume: 185 start-page: 274 year: 2019 ident: 10.1016/j.energy.2022.125460_b5 article-title: A hybrid price-based demand response program for the residential micro-grid publication-title: Energy doi: 10.1016/j.energy.2019.07.045 – volume: 204 year: 2020 ident: 10.1016/j.energy.2022.125460_b15 article-title: Optimal scheduling of gas and electricity consumption in a smart home with a hybrid gas boiler and electric heating system publication-title: Energy doi: 10.1016/j.energy.2020.117951 – volume: 6 start-page: 163 issue: 2 year: 2005 ident: 10.1016/j.energy.2022.125460_b38 article-title: Solving multiobjective optimization problems using an artificial immune system publication-title: Genet Program Evol Mach doi: 10.1007/s10710-005-6164-x – volume: 3 start-page: 1812 issue: 4 year: 2012 ident: 10.1016/j.energy.2022.125460_b6 article-title: Demand response optimization for smart home scheduling under real-time pricing publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2012.2218835 – volume: 187 year: 2020 ident: 10.1016/j.energy.2022.125460_b12 article-title: Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort publication-title: Electr Power Syst Res doi: 10.1016/j.epsr.2020.106477 – volume: 210 year: 2020 ident: 10.1016/j.energy.2022.125460_b10 article-title: Optimal management of home loads with renewable energy integration and demand response strategy publication-title: Energy doi: 10.1016/j.energy.2020.118602 – volume: 171 start-page: 944 year: 2019 ident: 10.1016/j.energy.2022.125460_b30 article-title: Optimal household appliances scheduling of multiple smart homes using an improved cooperative algorithm publication-title: Energy doi: 10.1016/j.energy.2019.01.025 – volume: 77 start-page: 144 year: 2014 ident: 10.1016/j.energy.2022.125460_b28 article-title: A multi-objective genetic approach to domestic load scheduling in an energy management system publication-title: Energy doi: 10.1016/j.energy.2014.05.101 – volume: 240 year: 2022 ident: 10.1016/j.energy.2022.125460_b26 article-title: Power demand response in the context of smart home application publication-title: Energy doi: 10.1016/j.energy.2021.122774 – ident: 10.1016/j.energy.2022.125460_b42 – volume: 30 start-page: 199 issue: 4 year: 2019 ident: 10.1016/j.energy.2022.125460_b14 article-title: A hybrid intelligent control based cyber-physical system for thermal comfort in smart homes publication-title: Int J Ad Hoc Ubiquitous Comput doi: 10.1504/IJAHUC.2019.098863 – volume: 205 year: 2020 ident: 10.1016/j.energy.2022.125460_b27 article-title: Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response publication-title: Energy doi: 10.1016/j.energy.2020.118022 – volume: 3 start-page: 257 issue: 4 year: 1999 ident: 10.1016/j.energy.2022.125460_b39 article-title: Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.797969 – volume: 32 start-page: 852 issue: 2 year: 2017 ident: 10.1016/j.energy.2022.125460_b22 article-title: Multi-objective based congestion management using generation rescheduling and load shedding publication-title: IEEE Trans Power Syst – volume: 14 start-page: 61 issue: 3 year: 2019 ident: 10.1016/j.energy.2022.125460_b43 article-title: Diversity assessment of multi-objective evolutionary algorithms: Performance metric and benchmark problems [research frontier] publication-title: IEEE Comput Intell Magaz doi: 10.1109/MCI.2019.2919398 – volume: 42 start-page: 229 year: 2016 ident: 10.1016/j.energy.2022.125460_b29 article-title: Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2016.01.033 – year: 1999 ident: 10.1016/j.energy.2022.125460_b37 – volume: 20 start-page: 889 issue: 8 year: 1993 ident: 10.1016/j.energy.2022.125460_b35 article-title: A new approach for multiple objective decision making publication-title: Comput Oper Res doi: 10.1016/0305-0548(93)90109-V – year: 1995 ident: 10.1016/j.energy.2022.125460_b41 – volume: 223 year: 2021 ident: 10.1016/j.energy.2022.125460_b18 article-title: Demand response through decentralized optimization in residential areas with wind and photovoltaics publication-title: Energy doi: 10.1016/j.energy.2021.119984 – volume: 1 start-page: 134 issue: 2 year: 2010 ident: 10.1016/j.energy.2022.125460_b31 article-title: Coordinated scheduling of residential distributed energy resources to optimize smart home energy services publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2010.2053053 – volume: 14 start-page: 193 issue: 3 year: 2009 ident: 10.1016/j.energy.2022.125460_b40 article-title: Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure publication-title: Soft Comput doi: 10.1007/s00500-008-0394-9 – volume: 170 start-page: 1113 year: 2019 ident: 10.1016/j.energy.2022.125460_b17 article-title: A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty publication-title: Energy doi: 10.1016/j.energy.2018.12.185 – volume: 253 year: 2022 ident: 10.1016/j.energy.2022.125460_b21 article-title: A novel hybrid lexicographic-IGDT methodology for robust multi-objective solution of home energy management systems publication-title: Energy doi: 10.1016/j.energy.2022.124146 – volume: Vol. 1 start-page: 825 year: 2002 ident: 10.1016/j.energy.2022.125460_b36 article-title: Scalable multi-objective optimization test problems – volume: 6 start-page: 2602 issue: 2 year: 2019 ident: 10.1016/j.energy.2022.125460_b8 article-title: A real-time electricity scheduling for residential home energy management publication-title: IEEE Internet Things J doi: 10.1109/JIOT.2018.2872463 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.energy.2022.125460_b25 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 245 year: 2022 ident: 10.1016/j.energy.2022.125460_b9 article-title: An optimal energy management among the electric vehicle charging stations and electricity distribution system using GPC-RERNN approach publication-title: Energy doi: 10.1016/j.energy.2022.123180 – volume: 210 year: 2020 ident: 10.1016/j.energy.2022.125460_b13 article-title: Optimal self-scheduling of home energy management system in the presence of photovoltaic power generation and batteries publication-title: Energy doi: 10.1016/j.energy.2020.118568 – volume: 254 year: 2022 ident: 10.1016/j.energy.2022.125460_b20 article-title: A novel approach for multi-objective cost-peak optimization for demand response of a residential area in smart grids publication-title: Energy doi: 10.1016/j.energy.2022.124360 – volume: 41 start-page: 538 year: 2018 ident: 10.1016/j.energy.2022.125460_b7 article-title: Time and device based priority induced comfort management in smart home within the consumer budget limitation publication-title: Sustainable Cities Soc doi: 10.1016/j.scs.2018.05.053 – volume: 19 start-page: 1 issue: 1 year: 2015 ident: 10.1016/j.energy.2022.125460_b34 article-title: Adaptive multiobjective particle swarm optimization based on parallel cell coordinate system publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2013.2296151 – volume: 261 year: 2020 ident: 10.1016/j.energy.2022.125460_b4 article-title: A residential energy management system with bi-level optimization-based bidding strategy for day-ahead bi-directional electricity trading publication-title: Appl Energy doi: 10.1016/j.apenergy.2019.114322 – year: 2019 ident: 10.1016/j.energy.2022.125460_b2 – volume: Vol. 2 start-page: 1051 year: 2002 ident: 10.1016/j.energy.2022.125460_b33 article-title: MOPSO: a proposal for multiple objective particle swarm optimization – volume: 218 year: 2021 ident: 10.1016/j.energy.2022.125460_b11 article-title: Optimal design of home energy management strategy based on refined load model publication-title: Energy doi: 10.1016/j.energy.2020.119516 – volume: 300 year: 2021 ident: 10.1016/j.energy.2022.125460_b24 article-title: Demand response with volt/var optimization for unbalanced active distribution systems publication-title: Appl Energy doi: 10.1016/j.apenergy.2021.117361 |
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| SubjectTerms | algorithms case studies consumer satisfaction Demand side management electricity electricity costs energy Internet Meta-heuristic algorithm Mixed integer nonlinear programming problem Multi-objective optimization Residential appliance scheduling Smart grid system optimization |
| Title | Multi-objective optimal scheduling of household appliances for demand side management using a hybrid heuristic algorithm |
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