Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Applied Sciences  /  Vol: 14 Par: 3 (2024)  /  Artículo
ARTÍCULO
TITULO

Analysis of Using Machine Learning Techniques for Estimating Solar Panel Performance in Edge Sensor Devices

Dalibor Dobrilovic    
Jasmina Pekez    
Visnja Ognjenovic and Eleonora Desnica    

Resumen

This paper presents a methodology for the implementation of edge intelligence for predicting solar panel performances on wireless sensor nodes.

 Artículos similares

       
 
Nejc Co?, Reza Ahmadian and Roger A. Falconer    
Understanding the impact of various hydraulic structures, such as coastal reservoirs and tidal range impoundments, has been one of the key challenges of hydro?environmental engineering in recent years. Over the last half-century, several proposals for ti... ver más
Revista: Water

 
Matteo Gentilucci, Maurizio Barbieri, Han Soo Lee and Dino Zardi    
Extreme precipitation trends and events are fundamental for the definition of the region?s climate and allow the subsequent analysis of the risk for the territory and the possible countermeasures. This study takes into account the Marche Region (Central ... ver más
Revista: Water

 
Ashraf Abdelkarim and Ahmed F.D. Gaber    
This study aims to assess the impact of flash floods in the Wadi Nu?man basin on urban areas, east of Mecca, which are subjected to frequent floods, during the period from 1988?2019. By producing and analyzing the maps of the regions, an integrated appro... ver más
Revista: Water

 
Seung Oh Lee and Seung Ho Hong    
Bridge pier scour is one of the main causes of bridge failure and a major factor that contributes to the total construction and maintenance costs of bridge. Recently, because of unexpected high water during extreme hydrologic events, the resilience and s... ver más
Revista: Water

 
Viktoriya Tsyganskaya, Sandro Martinis and Philip Marzahn    
Synthetic Aperture Radar (SAR) is particularly suitable for large-scale mapping of inundations, as this tool allows data acquisition regardless of illumination and weather conditions. Precise information about the flood extent is an essential foundation ... ver más
Revista: Water