Enhancing Solar Radiation Prediction for Computational-Constrained Environments Using Hybrid Artificial Neural Networks

Enhancing Solar Radiation Prediction for Computational-Constrained Environments Using Hybrid Artificial Neural Networks

This paper presents a hybrid predictive model optimized for resource-constrained environments, focusing on renewable energy systems in remote areas. The model integrates various Artificial Neural Network (ANN) architectures—Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN),...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: D. O. Cardozo, B. Medina, C. Quintero, M. Pardo
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: IEEE 2024-01-01
Цуврал:IEEE Access
Нөхцлүүд:
Renewable energy
predictive modeling
artificial neural networks (ANN)
resource-constrained environments
distributed generation
solar radiation prediction
Онлайн хандалт:https://ieeexplore.ieee.org/document/10811916/

Интернэт

https://ieeexplore.ieee.org/document/10811916/

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