Optimizing artificial neural networks for the accurate prediction of global solar radiation: A performance comparison with conventional methods

MA Ali, A Elsayed, I Elkabani, M Akrami, ME Youssef… - energies, 2023 - mdpi.com
Obtaining precise solar radiation data is the first stage in determining the availability of solar
energy. It is also regarded as one of the major inputs for a variety of solar applications. Due …

Optimizing Performance of Hybrid Electrochemical Energy Storage Systems through Effective Control: A Comprehensive Review

A Clemente, P Arias, L Gevorkov, L Trilla… - Electronics, 2024 - mdpi.com
The implementation of energy storage system (ESS) technology with an appropriate control
system can enhance the resilience and economic performance of power systems. However …

Hybrid renewable energy system optimisation for application in the winemaking sector

R Teixeira, A Cerveira, A Silva… - 2024 IEEE 22nd …, 2024 - ieeexplore.ieee.org
The objective of achieving carbon neutrality by 2050 requires the various sectors of the
economy to actively participate in the decarbonisation of all their activities, from production …

Advancing Solar Power Forecasting: Integrating Boosting Cascade Forest and Multi-Class-Grained Scanning for Enhanced Precision

MK Boutahir, Y Farhaoui, M Azrour - Available at SSRN 4838595 - papers.ssrn.com
Accurate solar power generation forecasting is paramount for optimizing renewable energy
systems and ensuring sustainability in our evolving energy landscape. This study introduces …