Short-term solar irradiance forecasting in streaming with deep learning

P Lara-Benítez, M Carranza-García, JM Luna-Romera… - Neurocomputing, 2023 - Elsevier
Solar energy is one of the most common and promising sources of renewable energy. In
photovoltaic (PV) systems, operators can benefit from future solar irradiance predictions for …

[HTML][HTML] Classification of anomalies in photovoltaic systems using supervised machine learning techniques and real data

JL de Souza Silva, E Mahmoudi, RRM Carvalho… - Energy Reports, 2024 - Elsevier
In a photovoltaic (PV) plant, various types of anomalies can lead to a decrease in energy
conversion efficiency. These anomalies represent deviations from the normal behavior of the …

Maximizing solar energy utilization and controlling electrical consumption in domestic water heaters by integrating with aluminum reflector

AQ Al-Dujaili, AH Shallal, AH Sabry, YM Alkubaisi… - Measurement, 2024 - Elsevier
Environmental concerns and rising energy costs require innovative solutions for household
water heating. This work presents an innovative strategy for an evacuated tube-based …

Multivariate strategy using artificial neural networks for seasonal photovoltaic generation forecasting

MO Moreira, BM Kaizer, T Ohishi, BD Bonatto… - Energies, 2022 - mdpi.com
Electric power systems have experienced the rapid insertion of distributed renewable
generating sources and, as a result, are facing planning and operational challenges as new …

Evaluating the Significance of Solarimetric Data for Photovoltaic System Simulation in a Real-World Case

JLDS Silva, JAFG Da Silva, E Mahmoudi… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Solarimetric stations in photovoltaic (PV) systems serve an essential role in identifying
issues and evaluating performance by providing data for simulations. This study aims to …

Data-driven analysis of solar photovoltaic systems: Correlation and distribution patterns

JLDS Silva, MM Cavalcante, SB Martins… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
With the increasing number of photovoltaic (PV) systems, it has become increasingly
important to understand the behavior of all variables that permeate a system and their …

A Comparative Study of the Effect of Weather Conditions on Solar Irradiance Forecasting Using Various Methods in Yogyakarta, Indonesia

MV Nugroho, F Mardiansah, TO Pratama… - Journal of Physics …, 2024 - iopscience.iop.org
The government's plan to build utility-scale solar power plants for the next decade will
impact the high penetration of solar energy into the grid. This problem is associated with the …

Modeling of a domestic hybrid electric/solar water heating system

DB Atia, MK AL-Saadi, AA Jaddoa - AIP Conference Proceedings, 2024 - pubs.aip.org
Dual The electricity demand has increased fast in most parts of the world. Traditional power
plants of fossil fuel energy sources produce electricity combined with environmental …

Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection

JLS Silva, JAFG da Silva, E Mahmoudi… - Eletrônica de …, 2025 - journal.sobraep.org.br
Local solarimetric stations (LSS) are essential for collecting data to evaluate photovoltaic
(PV) plant performance and improve simulation accuracy. When unavailable, commercial …

[PDF][PDF] Analysis of Photovoltaic Systems with emphasis on Anomaly Classification under a Supervised Approach Análise de Sistemas Fotovoltaicos com ênfase na …

JL de Souza Silva - repositorio.unicamp.br
Anomalias em sistemas fotovoltaicos (FV) são fenômenos responsáveis por desvios do
comportamento normal de um sistema. Esses desvios são naturais em um sistema FV …