Találati lista | Tudóstér

001-es BibID:	BIBFORM100830
035-os BibID:	(cikkazonosító)2003 (WoS)000775560000001 (Scopus)85128085838
Első szerző:	Assad, Ussama
Cím:	Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods / Ussama Assad, Muhammad Arshad Shehzad Hassan, Umar Farooq, Asif Kabir, Muhammad Zeeshan Khan, S. Sabahat H. Bukhari, Zain ul Abidin Jaffri, Judit Oláh, József Popp
Dátum:	2022
ISSN:	1996-1073
Megjegyzések:	In view of scarcity of traditional energy resources and environmental issues, renewable energy resources (RERs) are introduced to fulfill the electricity requirement of growing world. Moreover, the effective utilization of RERs to fulfill the varying electricity demands of customers can be achieved via demand response (DR). Furthermore, control techniques, decision variables and offered motivations are the ways to introduce DR into distribution network (DN). This categorization needs to be optimized to balance the supply and demand in DN. Therefore, intelligent algorithms are employed to achieve optimized DR. However, these algorithms are computationally restrained to handle the parametric load of uncertainty involved with RERs and power system. Henceforth, this paper focuses on the limitations of intelligent algorithms for DR. Furthermore, a comparative study of different intelligent algorithms for DR is discussed. Based on conclusions, quantum algorithms are recommended to optimize the computational burden for DR in future smartgrid.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Energies. - 15 : 6 (2022), p. 1-36. -
További szerzők:	Hassan, Muhammad Arshad Shehzad Farooq, Umar Kabir, Asif Khan, Muhammad Zeeshan Bukhari, S. Sabahat H. Jafri, Zain ul Abidin Oláh Judit (1973-) (agrárközgazdász, logisztika) Popp József (1955-) (közgazdász)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM100534
035-os BibID:	(cikkazonosító)1385 (WoS)000767158400001 (Scopus)85124909467
Első szerző:	Hassan, Muhammad Arshad Shehzad
Cím:	Dynamic Price-Based Demand Response through Linear Regression for Microgrids with Renewable Energy Resources / Muhammad Arshad Shehzad Hassan, Ussama Assad, Umar Farooq, Asif Kabir, Muhammad Zeeshan Khan, S. Sabahat H. Bukhari, Zain ul Abidin Jaffri, Judit Oláh, József Popp
Dátum:	2022
ISSN:	1996-1073
Megjegyzések:	The green innovations in the energy sector are smart solutions to meet the excessive power requirements through renewable energy resources (RERs). These resources have forwarded the revolutionary relief in control of carbon dioxide gaseous emissions from traditional energy resources. The use of RERs in a heuristic manner is necessary to meet the demand side management in microgrids (MGs). The pricing scheme limitations hinder the profit maximization of MG and their customers. In addition, recent pricing schemes lack mechanistic underpinning. Therefore, a dynamic electricity pricing scheme through linear regression is designed for RERs to maximize the profit of load customers (changeable and unchangeable) in MG. The demand response optimization problem is solved through the particle swarm optimization (PSO) technique. The proposed dynamic electricity pricing scheme is evaluated under two different scenarios. The simulation results verified that the proposed dynamic electricity pricing scheme sustained the profit margins and comforts for changeable and unchangeable load customers as compared to fixed electricity pricing schemes in both scenarios. Hence, the proposed dynamic electricity pricing scheme can readily be used for real microgrids (MGs) to grasp the goal for cleaner energy production.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Energies. - 15 : 4 (2022), p. 1-17. -
További szerzők:	Assad, Ussama Farooq, Umar Kabir, Asif Khan, Muhammad Zeeshan Bukhari, S. Sabahat H. Jafri, Zain ul Abidin Oláh Judit (1973-) (agrárközgazdász, logisztika) Popp József (1955-) (közgazdász)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM094558
035-os BibID:	(WOS)000653449500005 (Scopus)85107443743
Első szerző:	Kabir, Asif
Cím:	Energy-aware caching and collaboration for green communication systems / Asif Kabir, Syed Mushhad Gilani, Gohar Rehmanc, S. Sabath H., József Popp, Muhammad Arshad Shehzad Hassan, Judit Oláh
Dátum:	2021
ISSN:	1335-1788
Megjegyzések:	Social networks and mobile applications tend to enhance the need for high-quality content access. To meet the growing demand for data services in 5G cellular networks, it is important to develop effective content caching and distribution techniques, to reduce redundant data transmission and thereby improve network efficiency significantly. It is anticipated that energy harvesting and self-powered Small Base Stations' (SBS) are the rudimentary constituents of next-generation cellular networks. However, uncertainties in harvested energy are the primary reasons to opt for energy-efficient (EE) power control schemes to reduce SBS energy consumption and ensure the quality of services for users. Using edge collaborative caching, such EE design can also be achievable via the use of the content cache, decreasing the usage of capacity limited SBSs backhaul and reducing energy utilisation. Renewable energy (RE) harvesting technologies can be leveraged to manage the huge power demands of cellular networks. To reduce carbon footprint and improve energy efficiency, we tailored a more practical approach and propose green caching mechanisms for content distribution that utilise the content caching and renewable energy concept. Simulation results and analysis provide key insights that the proposed caching scheme brings a substantial improvement regarding content availability, cache storage capacity at the edge of cellular networks, enhances energy efficiency, and increases cache collaboration time up to 24%. Furthermore, self-powered base stations and energy harvesting are an ultimate part of next-generation wireless networks, particularly in terms of optimum economic sustainability and green energy in developing countries for the evolution of mobile networks.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Acta Montanistica Slovaca. - 26 : 1 (2021), p. 47-59. -
További szerzők:	Gilani, Syed Mushhad Mustuzhar Rehmanc, Gohar Sabath H. S. Popp József (1955-) (közgazdász) Shehzad Hassan, Muhammad Arshad Oláh Judit (1973-) (agrárközgazdász, logisztika)
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat DOI
Borító:
Saját polcon: