Cascade-Forward, Multi-Parameter Artificial Neural Networks for Predicting the Energy Efficiency of Photovoltaic Modules in Temperate Climate

Cascade-Forward, Multi-Parameter Artificial Neural Networks for Predicting the Energy Efficiency of Photovoltaic Modules in Temperate Climate

Solar energy is a promising and efficient source of electricity in countries with stable and high sunshine duration. However, in less favorable conditions, for example in continental, temperate climates, the process requires optimization to be cost-effective. This cannot be done without the support...

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Bibliographic Details
Main Authors: Karol Postawa, Michał Czarnecki, Edyta Wrzesińska-Jędrusiak, Wieslaw Łyskawiński, Marek Kułażyński
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
ANN
PV
solar
renewable energy
modeling
case study
Online Access:https://www.mdpi.com/2076-3417/14/7/2764

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