Bi-level decision tree-based smart electricity analysis framework for sustainable city

IF 3.8 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Sustainable Computing-Informatics & Systems Pub Date : 2025-01-01 DOI:10.1016/j.suscom.2024.101069

Tariq Ahamed Ahanger , Munish Bhatia , Abdullah Albanyan , Abdulrahman Alabduljabbar

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Abstract

The revolutionizing influence of the Internet of Things (IoT) paradigm has greatly enhanced the service-delivery aspects of electricity consumption, allowing for smart energy distribution and trustworthy electric appliances. The current research presents a novel technique for detecting electricity usage in smart homes using IoT technology. Poor electricity distribution has greatly impacted daily life along with inefficient power resource allocation. This research assesses the spatial–temporal efficiency with which power grid operators distribute electrical energy resources. The efficient distribution of energy resources is achieved by calculating the spatial–temporal utilization measure for each residence of a geographical region. Also, to help power grid managers optimize the spatial–temporal allocation of energy resources, a two-level threshold-based decision-tree model is presented. For performance assessment, four smart homes are tracked for 2 months in a simulated environment. Statistical results acquired for Delay (119.61s), Reliability (82.23%), Stability (71.12%), Classification Effectiveness (Precision (95.56%), Sensitivity (95.96%), and Specificity (95.25%)), and Decision-making Efficiency (92.21%) show that the presented approach significantly outperforms state-of-the-art data analysis techniques.

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来源期刊

Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

10.70

自引率

4.40%

发文量

142

期刊介绍： Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.