A Solar Energy Forecast Model Using Neural Networks: Application for Prediction of Power for Wireless Sensor Networks in Precision Agriculture
- 11 March 2020
- journal article
- research article
- Published by Springer Nature in Wireless Personal Communications
- Vol. 112 (4) , 2741-2760
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- Deep learning in neural networks: An overviewNeural Networks, 2015
- Estimating Global Solar Radiation Using Artificial Neural Network and Climate Data in the South-western Region of AlgeriaEnergy Procedia, 2012
- Using MATLAB to Develop Artificial Neural Network Models for Predicting Global Solar Radiation in Al Ain City – UAE2011
- The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological dataSolar Energy, 2010
- Artificial neural network estimation of global solar radiation using air temperature and relative humidityEnergy Policy, 2008
- On-line building energy prediction using adaptive artificial neural networksEnergy and Buildings, 2005
- Precision agriculture—a worldwide overviewComputers and Electronics in Agriculture, 2002
- One-hour-ahead load forecasting using neural networkIEEE Transactions on Power Systems, 2002
- Fast and robust fixed-point algorithms for independent component analysisIEEE Transactions on Neural Networks, 1999
- Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networksIEEE Transactions on Neural Networks, 1998