Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 89, P. 104320 - 104320
Published: Nov. 24, 2022
Language: Английский
Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 98, P. 104771 - 104771
Published: July 7, 2023
Language: Английский
Citations
59
Universal Access in the Information Society, Journal Year: 2022, Volume and Issue: 23(1), P. 345 - 364
Published: Nov. 16, 2022
Language: Английский
Citations
69
Applied Soft Computing, Journal Year: 2022, Volume and Issue: 132, P. 109870 - 109870
Published: Nov. 26, 2022
Language: Английский
Citations
68
Electronics, Journal Year: 2022, Volume and Issue: 11(17), P. 2676 - 2676
Published: Aug. 26, 2022
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from treasure trove sensed data and be truly ubiquitous without explicitly looking for knowledge patterns. Without ML, IoT cannot withstand future requirements businesses, governments, individual users. The primary goal is perceive what happening in our surroundings allow automation decision-making through intelligent methods, which will mimic decisions made by humans. In this paper, we classify discuss literature on ML-enabled three perspectives: data, application, industry. We elaborate with dozens cutting-edge methods applications a review around 300 published sources how ML work together play crucial role making environments smarter. also emerging trends, including Behavior (IoB), pandemic management, connected autonomous vehicles, edge fog computing, lightweight deep learning. Further, challenges four classes: technological, individual, business, society. This paper help exploit opportunities make societies more prosperous sustainable.
Language: Английский
Citations
55
Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 96, P. 104720 - 104720
Published: June 10, 2023
Massive advancements have been noticed on the Internet of Things (IoT) integrating smart Homes Energy Management Systems (HEMSs). In literature, many reviews carried out regarding technological upgrades in HEMSs. However, a comprehensive review energy management technologies at cities scale is lacking literature. this paper, detailed quantitative and Systematic Literature Review (SLR) has which particularly developed for cities. With SLR we identified research gaps that are restricting large-scale deployment robust models Accordingly, paper presents discussion about implementation state-of-the-art techniques Finally, it suggested possible next steps HEMSs research.
Language: Английский
Citations
33
Hybrid Advances, Journal Year: 2023, Volume and Issue: 5, P. 100136 - 100136
Published: Dec. 29, 2023
Renewable energy is the most dependable and universally acknowledged way of meeting world's expanding needs. In order to optimize solar generation, particular focus must be paid both application maintenance. IoT-based monitoring system proposals have been made in collect analyze data, which will allow for performance prediction reliable power output. Demand-side management's primary objective maximize economical utilization renewable resources without sacrificing overall efficiency. areas where use strongly reliant on grid, an intelligent management may effectively regulate usage. With cloud computing, opportunities problems driven out by growing grids successfully handled. This study examines role that systems play research practical industrial practises, acknowledging as stakeholders this undertaking. The investigation closely looks at a number IoT-related topics relation production. addition providing guidance upcoming academics field, it also lists possible future uses IoT, inspiring them further field's present understanding provide new ideas. Providing thorough analysis smart architecture purpose.
Language: Английский
Citations
23
Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 579 - 592
Published: June 27, 2024
Consumers routinely use electrical devices, leading to a disparity between consumer demand and the supply side significant concern for energy sector. Implementing demand-side management can enhance efficiency mitigate substantial supply-side shortages. Current practices focus on reducing power consumption during peak hours, enabling decrease in overall electricity costs without sacrificing usage. To tackle mentioned challenges maintain system equilibrium, it is essential develop flexible portable system. Introducing an intelligent could pre-empt outages by implementing controlled partial load shedding based preferences. During response event, adapts imposing maximum limit, considering various scenarios adjusting appliance priorities. Experimental work, incorporating user comfort levels, sensor data, usage times, conducted using Smart Energy Management Systems (SEMS) integrated with cost-optimization algorithms.
Language: Английский
Citations
10
Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 204, P. 123410 - 123410
Published: April 29, 2024
Language: Английский
Citations
9
Information, Journal Year: 2022, Volume and Issue: 13(7), P. 328 - 328
Published: July 7, 2022
Smart cities using the Internet of Things (IoT) can operate various IoT systems with better services that provide intelligent and efficient solutions for aspects urban life. With rapidly growing number systems, many smart city services, their quality service (QoS) constraints, servers face challenge allocating limited resources across all Internet-based applications to achieve an per-formance. The presence a cloud in system results high energy con-sumption delays network. Edge computing is based on framework where computation, storage, network are moved close data source. identical computing. critical issue edge when executing tasks generated by use while maintaining delay limitations. In this paper, we study multicriteria optimization approach resource allocation distributed IoT-based cities. We present three-layer architecture An scheme auctionable proposed ensure computation delay-sensitive tasks.
Language: Английский
Citations
30
International Journal of Consumer Studies, Journal Year: 2023, Volume and Issue: 47(6), P. 2553 - 2582
Published: June 14, 2023
Abstract The Internet of Things (IoT) is one the promising technologies in industry 4.0, which has potential to provide a myriad advantages and offer convenience individuals' daily lives efficiency businesses. Due enormous things, attention towards its adoption increasing significantly. Despite undeniable relevance this field, current study aims synthesize body knowledge on IoT using systematic literature review (SPAR‐4‐SLR) with TCCM framework. A total 101 articles were carefully selected after thorough search Web Science Scopus databases. This performed an in‐depth descriptive analysis present state knowledge. findings revealed that Technology acceptance model Unified theory use technology most widely employed theories models previous literature. Furthermore, developed integrative conceptual framework including antecedents, mediators, moderators, outcomes. Also, antecedents are classified into four categories based Technology‐organization‐environment end user‐specific category. By integrating existing knowledge, identifies significant gaps offers fertile ground for further investigation field.
Language: Английский
Citations
18