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Mendiratta, J. K.
- Long Term Wind Speed Prediction Usingwavelet Coefficients and Soft Computing
Abstract Views :199 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science and Engineering, R.V. College of Engineering, IN
2 Centre for Emerging Technologies, Jain University, IN
1 Department of Computer Science and Engineering, R.V. College of Engineering, IN
2 Centre for Emerging Technologies, Jain University, IN
Source
ICTACT Journal on Soft Computing, Vol 7, No 1 (2016), Pagination: 1338-1343Abstract
In the past researches, scholars have carried out short-term prediction for wind speed. The present work deals with long-term wind speed prediction, required for hybrid power generation design and contract planning. As the total database is quite large for long-term prediction, feature extraction of data by application of Lifting wavelet coefficients are exploited, along with soft computing techniques for time series data, which is scholastic in nature.Keywords
Lifting Wavelets, Soft Computing, Fuzzy Logic, Neural Network, Scholastic.
- A Novel Approach for Long Term Solar Radiation Prediction
Abstract Views :277 |
PDF Views:4
Authors
Affiliations
1 Department of Computer Science and Engineering, R.V. College of Engineering, IN
1 Department of Computer Science and Engineering, R.V. College of Engineering, IN
Source
ICTACT Journal on Soft Computing, Vol 8, No 1 (2017), Pagination: 1574-1581Abstract
With present stress, being laid on green energy worldwide, harnessing solar energy for commercial use has importance in sizing and long-term prediction of solar radiation. However, with continuous changing environment parameters, it is quite difficult for long-term prediction of solar radiation. In the past research scholars, have carried out solar prediction only for a few days, which is insufficient to exploit the radiation for sizing and harnessing the solar energy for commercial use. To overcome this gap, present work utilizes application of lifting wavelet transform along with ANFIS to predict the radiation for long duration.Keywords
Statistical Methods, ARIMA, RNN, Wavelet Transform, MRA, Neuro-Fuzzy Inference System, RMSE.References
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