Metaheuristic algorithms for solar radiation prediction: A systematic analysis

SA Pérez-Rodríguez, JM Álvarez-Alvarado… - IEEE …, 2024 - ieeexplore.ieee.org
In the contemporary world, where the escalating demand for energy and the imperative for
sustainable sources, notably solar energy, have taken precedence, the investigation into …

[HTML][HTML] A tiered NARX model for forecasting day-ahead energy production in distributed solar PV systems

S Al-Dahidi, M Alrbai, B Rinchi, L Al-Ghussain… - Cleaner Engineering …, 2024 - Elsevier
This study presents a hierarchical forecasting approach for day-ahead energy production in
distributed solar Photovoltaic (PV) systems using a tiered Nonlinear Autoregressive …

[HTML][HTML] Assessing Suitable Areas for PV Power Installation in Remote Agricultural Regions

A Belaid, M Guermoui, R Khelifi, T Arrif, T Chekifi… - Energies, 2024 - mdpi.com
Remote agricultural regions in desert areas, such as Ghardaïa in southern Algeria, face
significant challenges in energy supply due to their isolated locations and harsh climatic …

Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting

D El-Shahat, A Tolba, M Abouhawwash… - Journal of Big Data, 2024 - Springer
Abstract In late 2023, the United Nations conference on climate change (COP28), which was
held in Dubai, encouraged a quick move from fossil fuels to renewable energy. Solar energy …

Design and deployment of an IoT-enabled Helio Predictor for building energy Trend Analysing system

J Vigneshwaran, AR Valliammai, SC Raja… - Energy and …, 2024 - Elsevier
The escalating global demand for energy, the depletion of fossil resources, and the urgent
need for sustainable alternatives have led to a growing interest in solar renewable energy …

Development of an hourly-based solar radiation prediction model with ANFIS and Coati optimization: a comparative analysis

T Jithendra, SS Basha, AR Divya - Theoretical and Applied Climatology, 2024 - Springer
A reliable solar radiation modeling is crucial for renewable energy controllers to make savvy
decisions in the face of fluctuating energy and resource demands. It is fortunately the case …

Application of wavelet transform for wind energy generator diagnostic

B Batoun, H Merabet, A Chaker… - … in Engineering and …, 2024 - ojs.studiespublicacoes.com.br
In this paper, we propose a method for monitoring a wind energy generator using wavelet
transform, aiming to enhance fault detection and localization capabilities. This method …

[PDF][PDF] Cleaner Engineering and Technology

S Al-Dahidi, M Alrbai, B Rinchi, L Al-Ghussain, O Ayadi… - researchgate.net
This study presents a hierarchical forecasting approach for day-ahead energy production in
distributed solar Photovoltaic (PV) systems using a tiered Nonlinear Autoregressive …

Combined multi-component composite time series power prediction model for distributed energy systems based on STL data decomposition

T Yang, S HE, X Chen, P Fu, L Huang… - Available at SSRN … - papers.ssrn.com
Within distributed energy systems, the complexity of power data arises from the inclusion of
various output modules such as wind power generation, photovoltaic power generation, and …