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Smart Cities, Volume 8, Issue 2

2025 April - 34 articles

Cover Story: This paper presents a hybrid forecasting framework for urban power load variations, particularly during abnormal fluctuations caused by stochastic factors like human behavior and extreme weather. The authors first define abnormal load variations by analyzing the residual component of the load data. To address the scarcity of abnormal load samples, a Generative Adversarial Network (GAN)-based sample augmentation method is employed. Finally, the TimesNet deep learning model is utilized to capture complex load patterns during these periods. The framework, applied to load data from Chongqing, China, demonstrates improved forecasting accuracy, offering a promising solution for enhancing power system stability during critical load events. View this paper
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Articles (34)

  • Article
  • Open Access
1 Citations
2,623 Views
24 Pages

Energy-Efficient and Comprehensive Garbage Bin Overflow Detection Model Based on Spiking Neural Networks

  • Liwen Yang,
  • Xionghui Zha,
  • Jin Huang,
  • Zhengming Liu,
  • Jiaqi Chen and
  • Chaozhou Mou

With urbanization and population growth, waste management has become a pressing issue. Intelligent detection systems using deep learning algorithms to monitor garbage bin overflow in real time have emerged as a key solution. However, these systems of...

  • Perspective
  • Open Access
15 Citations
8,831 Views
27 Pages

The arrival of 5G technology is transforming the creation of smart cities by delivering unmatched speed, extremely low latency, and broad device connectivity. These developments allow for the effortless integration of IoT devices, live monitoring sys...

  • Project Report
  • Open Access
2 Citations
2,753 Views
38 Pages

Inclusive MicroMob: Enhancing Urban Mobility Through Micromobility Solutions

  • Annalisa Rollandi,
  • Michela Papandrea,
  • Filippo Bignami,
  • Laura Di Maggio,
  • Felix Günther,
  • Andrea Quattrini,
  • Luca Minardi,
  • Michele Cocca and
  • Albedo Bettini

This manuscript investigates the integration of micromobility solutions in four Swiss contexts, with a primary focus on Lugano as the testing area. Through urban analysis, urban experiment, and social testing, the Inclusive MicroMob project introduce...

  • Article
  • Open Access
4 Citations
1,251 Views
24 Pages

Simultaneous Feeder Routing and Conductor Selection in Rural Distribution Networks Using an Exact MINLP Approach

  • Brandon Cortés-Caicedo,
  • Oscar Danilo Montoya,
  • Luis Fernando Grisales-Noreña,
  • Walter Gil-González and
  • Jorge Alfredo Ardila-Rey

This article addresses the optimal network expansion problem in rural distribution systems using a mixed-integer nonlinear programming (MINLP) model that simultaneously performs route selection and conductor sizing in radial distribution systems. The...

  • Article
  • Open Access
5 Citations
1,927 Views
24 Pages

Amidst climate change and the energy crisis worldwide, the synergy between smart city and environmental policies has become a key path to improving the green resilience of cities. This study examines the spatial effects of carbon emission trading (CE...

  • Review
  • Open Access
9 Citations
5,399 Views
25 Pages

Maintenance 4.0 for HVAC Systems: Addressing Implementation Challenges and Research Gaps

  • Ibrahim Abdelfadeel Shaban,
  • HossamEldin Salem,
  • Ammar Yaser Abdullah,
  • Hazza Muhsen Abdoul Qader Al Ameri and
  • Mansoor Mohammed Alnahdi

This article explores the integration of Maintenance 4.0 into HVAC (heating, ventilation, and air conditioning) systems, highlighting its essential role within the framework of Industry 4.0. Maintenance 4.0 utilizes advanced technologies such as arti...

  • Article
  • Open Access
6 Citations
3,076 Views
28 Pages

Accurately forecasting load profiles, especially peak catching, is a challenge due to the stochastic nature of consumption. In this paper, we applied the following three models for forecasting: Long Short-Term Memory (LSTM); Support Vector Regression...

  • Article
  • Open Access
7 Citations
1,686 Views
74 Pages

This work presents an innovative, energy-efficient IoT routing protocol that combines advanced data fusion grouping and routing strategies to effectively tackle the challenges of data management in smart cities. Our protocol employs hierarchical Data...

  • Article
  • Open Access
1 Citations
1,562 Views
17 Pages

Energy-efficient renovation of the existing building stock is essential for achieving the ambitious sustainability goals set by the European Commission for 2030. However, implementing sustainable renovation has proven challenging, as numerous studies...

  • Article
  • Open Access
4 Citations
2,815 Views
36 Pages

Social media is crucial for gathering public feedback on government services, particularly in the traffic sector. While Aspect-Based Sentiment Analysis (ABSA) offers a means to extract actionable insights from user posts, analyzing Arabic content pos...

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Smart Cities - ISSN 2624-6511