TY  - JOUR
Y1  - 2022///
SN  - 19961073
PB  - MDPI
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127093704&doi=10.3390%2fen15062226&partnerID=40&md5=6a147a87876576ce1949de600429c4b7
JF  - Energies
A1  - Bourabee, M.A.
A1  - Naz, M.Y.
A1  - Albalaa, I.E.D.
A1  - Sulaiman, S.A.
VL  - 15
AV  - none
N1  - cited By 6
N2  - Recent research on solar irradiance forecasting has attracted considerable attention, as governments worldwide are displaying a keenness to harness green energy. The goal of this study is to build forecasting methods using deep learning (DL) approach to estimate daily solar irradiance in three sites in Kuwait over 12 years (2008â??2020). Solar irradiance data are used to extract and understand the symmetrical hidden data pattern and correlations, which are then used to predict future solar irradiance. A DL model based on the attention mechanism applied to bidirectional long shortâ??term memory (BiLSTM) is developed for accurate solar irradiation forecasting. The proposed model is designed for two different conditions (sunny and cloudy days) to ensure greater accuracy in different weather scenarios. Simulation results are presented which depict that the attention based BiLSTM model outperforms the other deep learning networks in the prediction analysis of solar irradiance. The attention based BiLSTM model was able to predict variations in solar irradi-ance over short intervals in continental climate zones (Kuwait) more efficiently with an RMSE of 4.24 and 20.95 for sunny and cloudy days, respectively. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
IS  - 6
KW  - Climate models; Deep learning; Forecasting; Solar radiation
KW  -  Attentionâ??based bidirectional long shortâ??term memory; Cloudy days; Co-evolutionary; Coevolutionary neural network; Continental climate; Neural-networks; Solar irradiances; Solar radiation predictions; Sunny days; Wavelets decomposition
KW  -  Wavelet decomposition
ID  - scholars16996
TI  - BiLSTM Networkâ??Based Approach for Solar Irradiance Forecasting in Continental Climate Zones
ER  -