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Technologies, Volume 11, Issue 3

2023 June - 19 articles

Cover Story: Accurate prediction of electrical loads is crucial for efficient power system operation and market management. Various forecasting platforms have been proposed to address this challenge, including the use of recurrent neural networks trained on hourly or daily load inputs. This paper presents a framework that employs an RNN model to forecast future electrical load and provides a comparative analysis with other state-of-the-art architectures trained in different variations. Extensive testing on a dataset including Greece's electricity load values per hour demonstrates the framework's ability to capture underlying patterns and achieve high predictive accuracy. Notably, the proposed RNN outperforms more complex neural networks, indicating its effectiveness in capturing data patterns or trends. View this paper
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Articles (19)

  • Article
  • Open Access
53 Citations
4,302 Views
14 Pages

Utilization of Artificial Neural Networks for Precise Electrical Load Prediction

  • Christos Pavlatos,
  • Evangelos Makris,
  • Georgios Fotis,
  • Vasiliki Vita and
  • Valeri Mladenov

In the energy-planning sector, the precise prediction of electrical load is a critical matter for the functional operation of power systems and the efficient management of markets. Numerous forecasting platforms have been proposed in the literature t...

  • Article
  • Open Access
9 Citations
15,210 Views
10 Pages

Validation of Aerobic Capacity (VO2max) and Lactate Threshold in Wearable Technology for Athletic Populations

  • Bryson Carrier,
  • Macy M. Helm,
  • Kyle Cruz,
  • Brenna Barrios and
  • James W. Navalta

As wearable technology (WT) has evolved, devices have developed the ability to track a range of physiological variables. These include maximal aerobic capacity (VO2max) and lactate threshold (LT). With WT quickly growing in popularity, independent ev...

  • Communication
  • Open Access
6 Citations
3,625 Views
10 Pages

Corrosion Resistance of Steel S355MC in Crude Glycerol

  • Marián Palcut,
  • Žaneta Gerhátová,
  • Patrik Šulhánek and
  • Peter Gogola

Corrosion is the degradation of materials in oxidizing environments. In aqueous solutions, it is initiated by the surface reaction of the metallic material with the surrounding electrolyte. The corrosion rate of metals can be significantly reduced by...

  • Article
  • Open Access
3 Citations
5,734 Views
17 Pages

The trend of using deep learning techniques to classify arbitrary tasks has grown significantly in the last decade. Such techniques in the background provide a stack of non-linear functions to solve tasks that cannot be solved in a linear manner. Nat...

  • Communication
  • Open Access
4 Citations
2,970 Views
11 Pages

Identifying Growth Patterns in Arid-Zone Onion Crops (Allium Cepa) Using Digital Image Processing

  • David Duarte-Correa,
  • Juvenal Rodríguez-Reséndiz,
  • Germán Díaz-Flórez,
  • Carlos Alberto Olvera-Olvera and
  • José M. Álvarez-Alvarado

The agricultural sector is undergoing a revolution that requires sustainable solutions to the challenges that arise from traditional farming methods. To address these challenges, technical and sustainable support is needed to develop projects that im...

  • Brief Report
  • Open Access
2 Citations
6,158 Views
7 Pages

A Deeper Look into Exercise Intensity Tracking through Mobile Applications: A Brief Report

  • Alexie Elder,
  • Gabriel Guillen,
  • Rebecca Isip,
  • Ruben Zepeda and
  • Zakkoyya H. Lewis

Mobile fitness applications (apps) allow for time-efficient opportunities for physical activity. Current research suggests that fitness apps do not accurately comply with the frequency, intensity, time, and type (FITT) principle. FITT is an important...

  • Article
  • Open Access
15 Citations
8,679 Views
15 Pages

Digital Interaction with Physical Museum Artifacts

  • Andreas Pattakos,
  • Emmanouil Zidianakis,
  • Michalis Sifakis,
  • Michalis Roulios,
  • Nikolaos Partarakis and
  • Constantine Stephanidis

In the digital information world, visualizing information in public spaces has been implemented in various formats and for application contexts such as advertisement, useful information provision, and provision of critical information in the cases of...

  • Communication
  • Open Access
1 Citations
2,904 Views
10 Pages

Towards Safe Visual Navigation of a Wheelchair Using Landmark Detection

  • Christos Sevastopoulos,
  • Mohammad Zaki Zadeh,
  • Michail Theofanidis,
  • Sneh Acharya,
  • Nishi Patel and
  • Fillia Makedon

This article presents a method for extracting high-level semantic information through successful landmark detection using 2D RGB images. In particular, the focus is placed on the presence of particular labels (open path, humans, staircase, doorways,...

  • Article
  • Open Access
3 Citations
4,262 Views
17 Pages

Miniaturized Compact Reconfigurable Half-Mode SIW Phase Shifter with PIN Diodes

  • Franky Dakam Wappi,
  • Bilel Mnasri,
  • Alireza Ghayekhloo,
  • Larbi Talbi and
  • Halim Boutayeb

In this work, a novel electrically reconfigurable phase shifter based on a half-mode substrate integrated waveguide (HM-SIW) is proposed. SIW is a guided transmission line topology, and by using half-mode excitation, a smaller size can be achieved. P...

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Technologies - ISSN 2227-7080