Modelling smart energy consumption with hybrid demand management in off-grid electrical system considering techno-economic indices | Science and Technology for Energy Transition (STET)

Decarbonizing Energy Systems: Smart Grid and Renewable Technologies

Open Access

Issue		Sci. Tech. Energ. Transition Volume 79, 2024 Decarbonizing Energy Systems: Smart Grid and Renewable Technologies


Article Number		88
Number of page(s)		10
DOI		https://doi.org/10.2516/stet/2024089
Published online		30 October 2024

Kunelbayev M., Mansurova M., Tyulepberdinova G., Sarsembayeva T., Issabayeva S., Issabayeva D. (2024) Comparison of the parameters of a flat solar collector with a tubular collector to ensure energy flexibility in smart buildings. Int. J. Innov. Res. Sci. Stud. 7, 1, 240–250.https://doi.org/10.53894/ijirss.v7i1.2605. [Google Scholar]
Ng A.H.H., Wider W., Ho R.C., Wong C.H., Ngui K.S. (2024) Enhancing customer behavior and gratitude towards the use of social commerce in Malaysia. Asian Dev. Policy Rev. 12, 2, 70–81. https://doi.org/10.55493/5008.v12i2.4977. [CrossRef] [Google Scholar]
Usman O., Alianti M., Fadillah F.N. (2024) Factors affecting the intention to use QRIS on MSME customers. Int. J. Appl. Econ. Finance Account. 18, 1, 77–87. https://doi.org/10.33094/ijaefa.v18i1.1323. [CrossRef] [Google Scholar]
Uckun-Ozkan A. (2024) The impact of investor attention on green bond returns: how do market uncertainties and investment performances of clean energy and oil and gas markets affect the connectedness between investor attention and green bond? Asian J. Econ. Modelling 12, 1, 53–75. https://doi.org/10.55493/5009.v12i1.4986. [CrossRef] [Google Scholar]
Olivier H., Emmanuel U., Gloria H. (2023) Weather influence on the performance of solar collector. Int. J. Sustain. Energy Environ. Res. 12, 1, 10–16. https://doi.org/10.18488/13.v12i1.3379. [Google Scholar]
Kharnoob M.M. (2021) The limitation and application of geometric buildings and civil structures. E3S Web Conf. 318, 04009. https://doi.org/10.1051/e3sconf/202131804009. [CrossRef] [EDP Sciences] [Google Scholar]
Hussan B.K., Rashid Z.N., Zeebaree S.R., Zebari R.R. (2023) Optimal deep belief network enabled vulnerability detection on smart environment. J. Smart Internet Things 2023, 146–162. [Google Scholar]
Hajrasouliha A., Ghahfarokhi B.S. (2021) Dynamic geo-based resource selection in LTE-V2V communications using vehicle trajectory prediction. Comput. Commun. 177, 239–254. [CrossRef] [Google Scholar]
Khayambashi K., Hasnat M.A., Alemazkoor N. (2024) Hybrid chance-constrained optimal power flow under load and renewable generation uncertainty using enhanced multi-fidelity graph neural networks. J. Mach. Learn. Modeling Comput. 5, 4, 53–76. [Google Scholar]
Lakzian E., Mahrooghi A. (2023) Optimization of wells turbine performance, in: Ting D., O’Brien P. (eds), Progress in sustainable development, Elsevier, pp. 155–204. [CrossRef] [Google Scholar]
Hao Y., Basem A., Bagheritabar M., Jasim D.J., Keivani B., Kareem A.H., Sultan A.J., Salahshour S., Esmaeili S. (2024) The computational study of silicon doping and atomic defect influences on the CNT’s nano-pumping process: Molecular dynamics approach. Int. Commun. Heat Mass Transf. 152, 107302. [CrossRef] [Google Scholar]
Yousefizad M., Zarasvand M.M., Bagheritabar M., Ghezelayagh M.M., Farahi A., Ghafouri T., Raissi F., Zeidabadi M.A., Manavizadeh N. (2023) Performance investigation of low-power flexible n-ZnO/p-CuO/n-ZnO heterojunction bipolar transistor: simulation study. Micro Nanostructures 180, 207594. [CrossRef] [Google Scholar]
An Q., Bagheritabar M., Basem A., Ghabra A.A., Li Y., Tang M., Sabri L.S., Sabetvand R. (2024) The effect of size of copper oxide nanoparticles on the atomic and thermal behavior of silica aerogel/paraffin nanostructure in a cylindrical duct using molecular dynamics simulation. Case Stud. Therm. Eng. 60, 104666. [CrossRef] [Google Scholar]
Mansourihanis O., Maghsoodi Tilaki M.J., Sheikhfarshi S., Mohseni F., Seyedebrahimi E. (2024) Addressing urban management challenges for sustainable development: analyzing the impact of neighborhood deprivation on crime distribution in Chicago. Societies 14, 8, 139. [CrossRef] [Google Scholar]
Kamali Z., Khashehchi M., Zarafshan P., Pipelzadeh E. (2020) Enhanced desalination performance of capacitive deionization using ZIF-8/Graphene nanocomposite electrode. Appl. Water Sci. 10, 12, 239. [CrossRef] [Google Scholar]
Motvallian Naeini H., Shafahi Y., SafariTaherkhani M. (2022) Optimizing and synchronizing timetable in an urban subway network with stop-skip strategy. J. Rail Transp. Plan. Manag. 22, 100301. https://doi.org/10.1016/j.jrtpm.2022.100301. [Google Scholar]
Zolfaghary Pour S., Khavasi A., Rejaei B. (2024) Design and fabrication of a polarization-independent millimeter-wave absorber using circuit theory and 3D printing. J. Electron. Mater. 53, 1, 525–534. https://doi.org/10.1007/s11664-023-10778-z. [CrossRef] [Google Scholar]
Montazeri A., Mazaheri M., Morid S., Mosaddeghi M.R. (2023) Effects of upstream activities of Tigris-Euphrates River Basin on water and soil resources of Shatt al-Arab Border River. Sci. Total Environ. 858, 159751. https://doi.org/10.1016/j.scitotenv.2022.159751. [CrossRef] [Google Scholar]
Zandi S., Luhan G.A. (2023) Exploring user interactions in AR/VR interfaces: a simulation-based study, in: 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa, 16–17 November, IEEE, pp. 1–6. https://doi.org/10.1109/ICECET58911.2023.10389595. [Google Scholar]
Ahmadirad Z. (2024) Evaluating the influence of AI on market values in finance: distinguishing between authentic growth and speculative hype. Int. J. Adv. Res. Humanit. Law 1, 2, 50–57. https://doi.org/10.63053/ijrel.11. [CrossRef] [Google Scholar]
Sheykhfard A., Haghighi F., Saeidi S., SafariTaherkhani M., Das S. (2024) Understanding the influence of environmental factors on driver speed: a structural equation modeling analysis. IATSS Res. 48, 3, 427–439. https://doi.org/10.1016/j.iatssr.2024.08.001. [CrossRef] [Google Scholar]
EskandariNasab M., Raeisi Z., Lashaki R.A., Najafi H. (2024) A GRU-CNN model for auditory attention detection using microstate and recurrence quantification analysis. Sci. Rep. 14, 1, 8861. https://doi.org/10.1038/s41598-024-58886-y. [CrossRef] [Google Scholar]
Farrokhi S., Dargie W., Poellabauer C. (2024) Reliable peak detection and feature extraction for wireless electrocardiograms. https://doi.org/10.22541/au.172538584.47417086/v1. [Google Scholar]
Zolfaghary Pour S., Chegini E., Mighani M. (2023) Design of wideband metamaterial absorber using circuit theory for X-band applications. IET Microw. Antennas Propagation 17, 4, 292–300. https://doi.org/10.1049/mia2.12338. [CrossRef] [Google Scholar]
Ghoreishi E., Abolhassani B., Huang Y., Acharya S., Lou W., Hou Y.T. (2024) Cyrus: A DRL-based puncturing solution to URLLC/eMBB multiplexing in O-RAN, in: 2024 33rd International Conference on Computer Communications and Networks (ICCCN), Kailua-Kona, HI, USA, 29–31 July, IEEE, pp. 1–9. https://doi.org/10.1109/ICCCN61486.2024.10637645. [Google Scholar]
Shavandi M., Taghavi A. (2023) Maps preserving n-tuple A* B− B* A derivations on factor von Neumann algebras. Publ. Inst. Math. 113, 127, 131–140. https://doi.org/10.2298/PIM2327131S. [CrossRef] [MathSciNet] [Google Scholar]
Farrokhi S., Dargie W., Poellabauer C. (2024) Human activity recognition based on wireless electrocardiogram and inertial sensors. IEEE Sens. J. 24, 5, 6490–6499. https://doi.org/10.1109/JSEN.2023.3348661. [CrossRef] [Google Scholar]
Dokhanian S., Sodagartojgi A., Tehranian K., Ahmadirad Z., Moghaddam P.K., Mohsenibeigzadeh M. (2024) Exploring the impact of supply chain integration and agility on commodity supply chain performance. World J. Adv. Res. Rev. 22, 1, 441–450. https://doi.org/10.30574/wjarr.2024.22.1.1119. [CrossRef] [Google Scholar]
Emdadi Derabi M., Sangsefidi M., Rahmani O. (2021) The effect of thickness on the multiwalled carbon nanotubes performance in glass/epoxy composite laminates under dynamic loading. Polym. Compos. 42, 11, 5789–5800. https://doi.org/10.1002/pc.26260. [CrossRef] [Google Scholar]
Shavandi M., Taghavi A. (2024) Non-linear triple product A* B-B* A derivations on*-algebras. Surv. Math. Appl. 19, 67–78. [MathSciNet] [Google Scholar]
Shabani S., Majkut M. (2024) CFD approach for determining the losses in two-phase flows through the last stage of condensing steam turbine. Appl. Therm. Eng. 253, 123809. https://doi.org/10.1016/j.applthermaleng.2024.123809. [CrossRef] [Google Scholar]
Shokrollahi H., Emdadi Derabi M. (2024) Deformation of an open sandwich cylindrical shell with CNT reinforced faces using HDQ method. Arab. J. Sci. Eng. https://doi.org/10.1007/s13369-024-09339-1. [Google Scholar]
Chamandoust H., Derakhshan G., Hakimi S.M., Bahramara S. (2020) Tri-objective scheduling of residential smart electrical distribution grids with the optimal joint of responsive loads with renewable energy sources. J. Energy Storage 27, 101112. [CrossRef] [Google Scholar]
Chamandoust H., Bahramara S., Derakhshan G. (2020) Multi-objective operation of smart stand-alone microgrid with the optimal performance of customers to improve economic and technical indices. J. Energy Storage 31, 101738. [CrossRef] [Google Scholar]
Majid S.H., Alkhayer A.G., Askar S., Rajiv A., Singh S., Kaur S., Singh A., Hussein L., Romaina Y.S., Perz R. (2024) Modelling cost-effective of electric vehicles and demand response in smart electrical microgrids. Sci. Tech. Energy Transition 79, 63. [CrossRef] [Google Scholar]
Akinbowale O.E., Mashigo P., Zerihun M.F. (2023) Evaluating the impact of organizations’ corporate social responsibility from the banking industry perspective: a fuzzy analytic hierarchy process approach. Int. J. Manag. Sustain. 12, 2, 159–176. https://doi.org/10.18488/11.v12i2.3331. [Google Scholar]
Ghafoor A., Munir A. (2015) Design and economics analysis of an off-grid PV system for household electrification. Renew. Sustain. Energy Rev. 42, 496–502. [CrossRef] [Google Scholar]
Chamandoust H., Derakhshan G., Bahramara S. (2020) Multi-objective performance of smart hybrid energy system with Multi-optimal participation of customers in day-ahead energy market. Energy Build. 216, 109964. https://doi.org/10.1016/j.enbuild.2020.109964. [CrossRef] [Google Scholar]
Jirdehi M.A., Tabar V.S., Hemmati R., Siano P. (2017) Multi objective stochastic microgrid scheduling incorporating dynamic voltage restorer. Int. J. Electr. Power Energy Syst. 93, 316–327. [CrossRef] [Google Scholar]
Tabassum S., Babu A.R.V., Dheer D.K. (2024) A comprehensive exploration of IoT-enabled smart grid systems: power quality issues, solutions, and challenges. Sci. Tech. Energy Transition 79, 62. [CrossRef] [Google Scholar]
Chamandoust H. (2022) Optimal hybrid participation of customers in a smart micro-grid based on day-ahead electrical market. Artif. Intell. Rev. 55, 7, 5891–5915. [CrossRef] [Google Scholar]
Khan M.A., Kareem A.K., Askar S., Abduvalieva D., Roopashree R., Prasad K.V., Sharma A., Sharma A., Ghazaly N.M., Mohmmedi M. (2024) Modeling techno-economic multi-objectives of smart homes considering energy optimization and demand management. Sci. Tech. Energy Transition 79, 61. [CrossRef] [Google Scholar]
Wang X., Zhang X., Zhou F., Xu X., Chammam A.B., Ali A.M. (2024) Modeling smart electrical microgrid with demand response and storage systems for optimal operation in critical conditions. Sci. Tech. Energy Transition 79, 55. [CrossRef] [Google Scholar]
Askar S., Sadikova A., Mohammed R.J., Khalaf H.H., Ghazaly N.M., Radhan R.P., Candra O.C. (2024) Optimal demand management of smart energy hybrid system based on multi-objective optimization problem. Sci. Tech. Energy Transition 79, 53. [CrossRef] [Google Scholar]
Mingming S., Jun M., Xiaolong X., Fan W. (2024) Research on the multi-scenario control strategy of an active distribution network based on Rotary Power Flow controller. Sci. Tech. Energy Transition 79, 51. [CrossRef] [Google Scholar]
Shu N., Jiang S., Fan Z., Cao X., Zhang Z. (2024) Energy management strategy of microgrid based on photovoltaic and energy storage system in construction area of Sichuan-Tibet Railway. Sci. Tech. Energy Transition 79, 49. [CrossRef] [Google Scholar]
Mavrotas G., Generation of efficient solutions in multiobjective mathematical programming problems using GAMS. Available at http://www.gams.com. [Google Scholar]
Zimmermann H.-J. (2010) Fuzzy set theory, WIREs Comp Stat 2, 317–332. https://doi.org/10.1002/wics.82. [CrossRef] [Google Scholar]
Chamandoust H., Hashemi A., Bahramara S. (2021) Energy management of a smart autonomous electrical grid with a hydrogen storage system. Int. J. Hydrogen Energy 46, 17608–17626. https://doi.org/10.1016/j.ijhydene.2021.02.174. [CrossRef] [Google Scholar]
Hassan Q. (2021) Evaluation and optimization of off-grid and on-grid photovoltaic power system for typical household electrification. Renew. Energy 164, 375–390. [CrossRef] [Google Scholar]
Luta D.N., Raji A.K. (2018) Decision-making between a grid extension and a rural renewable off-grid system with hydrogen generation. Int. J. Hydrogen Energy 43, 20, 9535–9548. [CrossRef] [Google Scholar]

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