Journal ArticleDOI
Estimation of global solar radiation using artificial neural networks
Reads0
Chats0
TLDR
Results indicate the viability of this approach for spatial modeling of solar radiation, and introduce a neural network technique for the estimation of global solar radiation.About:
This article is published in Renewable Energy.The article was published on 1998-05-01. It has received 337 citations till now. The article focuses on the topics: Artificial neural network.read more
Citations
More filters
Journal ArticleDOI
Artificial neural networks in renewable energy systems applications: a review
TL;DR: In this article, the authors present various applications of neural networks mainly in renewable energy problems in a thematic rather than a chronological or any other order, which clearly suggest that artificial neural networks can be used for modelling in other fields of renewable energy production and use.
Journal ArticleDOI
Applications of artificial neural-networks for energy systems
TL;DR: In this paper, the authors present various applications of neural networks in energy problems in a thematic rather than a chronological or any other way, including modeling and design of a solar steam generating plant, estimation of a parabolic-trough collector's intercept factor and local concentration ratio, and performance prediction of solar water-heating systems.
Journal ArticleDOI
A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy
TL;DR: In this paper, a multilayer perceptron (MLP) model was proposed to forecast the solar irradiance on a base of 24h using the present values of the mean daily solar irradiances and air temperature.
Journal ArticleDOI
Artificial intelligence techniques for photovoltaic applications: A review
Adel Mellit,Soteris A. Kalogirou +1 more
TL;DR: The paper outlines an understanding of how AI systems operate by way of presenting a number of problems in photovoltaic systems application, mainly because of their symbolic reasoning, flexibility and explanation capabilities.
Journal ArticleDOI
Support vector machines for wind speed prediction
TL;DR: This paper introduces support vector machines (SVM), the latest neural network algorithm, to wind speed prediction and compares their performance with the multilayer perceptron (MLP) neural networks.
References
More filters
Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book
Neural networks for pattern recognition
TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
Journal ArticleDOI
An introduction to computing with neural nets
TL;DR: This paper provides an introduction to the field of artificial neural nets by reviewing six important neural net models that can be used for pattern classification and exploring how some existing classification and clustering algorithms can be performed using simple neuron-like components.
BookDOI
Neural Networks for Identification, Prediction, and Control
Liu Xing,Duc Truong Pham +1 more
TL;DR: Artificial neural Networks dynamic system identification using feedforward neural networks dynamic system modelling modelling and prediction using GMDH networks financial prediction usingGMDH networksFinancial prediction using neural network controllers neuromorphic fuzzy controller design robot manipulator control using neural networks.
Journal ArticleDOI
Calculation of monthly mean solar radiation for horizontal and inclined surfaces
TL;DR: The use of daily rather than hourly time intervals in the calculation of the monthly mean values of solar radiation for both horizontal and inclined surfaces has for long been a desirable objective due to a reduction in the required computational effort and more general availability of daily data as discussed by the authors.
Related Papers (5)
Comparative study of Ångström's and artificial neural networks' methodologies in estimating global solar radiation
Artificial neural network estimation of global solar radiation using air temperature and relative humidity
Shafiqur Rehman,Mohamed Mohandes +1 more