2011
DOI: 10.1016/j.energy.2010.10.032
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Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation

Abstract: This paper presents an application of Artificial Neural Networks (ANNs) to predict daily solar radiation. We look at the Multi-Layer Perceptron (MLP) network which is the most used of ANNs architectures. In previous studies, we have developed an ad-hoc time series preprocessing and optimized a MLP with endogenous inputs in order to forecast the solar radiation on a horizontal surface. We propose in this paper to study the contribution of exogenous meteorological data (multivariate method) as time series to our… Show more

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Cited by 150 publications
(74 citation statements)
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References 36 publications
(43 reference statements)
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“…Among these methods, some are based on linear models such as Linear Regression (LR), Auto-Regressive Moving Average (ARMA) and Auto-Regressive (AR) [1,2]. However, because of the nonlinear behavior of the solar radiation, researchers propose several nonlinear models based on wavelet-based methods, fuzzy models, Adaptive Neural Fuzzy Inference Systems (ANFIS) Random Forests (RF), k-Nearest Neighbors (kNN) and Artificial Neural Networks (ANN) [2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…Among these methods, some are based on linear models such as Linear Regression (LR), Auto-Regressive Moving Average (ARMA) and Auto-Regressive (AR) [1,2]. However, because of the nonlinear behavior of the solar radiation, researchers propose several nonlinear models based on wavelet-based methods, fuzzy models, Adaptive Neural Fuzzy Inference Systems (ANFIS) Random Forests (RF), k-Nearest Neighbors (kNN) and Artificial Neural Networks (ANN) [2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning methods, which learn the relationship between inputs and outputs by fitting a flexible model directly from the data, are some of the most widely used methods to estimate DSR [40][41][42][43][44][45]. Wang [43] proposed a method try to derive DSR measurements using Moderate Resolution Imaging Spectroradiometer (MODIS) data (e.g., atmospheric profile product and surface reflectance) based on an artificial neural network (ANN) model.…”
Section: Introductionmentioning
confidence: 99%
“…RESs are characterized by the total amount of energy that is predicted to be generated in each time slot n ∈ N , π R n . These data can be defined by learning algorithms based on weather forecasts [46,47].…”
Section: Local Energy Generatorsmentioning
confidence: 99%