2020
DOI: 10.1007/s12145-020-00511-3
|View full text |Cite
|
Sign up to set email alerts
|

Hourly solar irradiance prediction using deep BiLSTM network

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
2
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 17 publications
(3 citation statements)
references
References 46 publications
1
2
0
Order By: Relevance
“…Figure 8 shows the annual average RMSE & MAPE comparison of this scenario. From these observations, It is clear that the BiLSTM network outperforms over LSTM & GRU as is also claimed in various previous studies (Li et al 2021 ; Rai et al 2021 ). # Scenario 2: Forecast using traditional WT and BiLSTM (WT-BiLSTM (T))
Fig.
…”
Section: Simulation Resultssupporting
confidence: 83%
See 1 more Smart Citation
“…Figure 8 shows the annual average RMSE & MAPE comparison of this scenario. From these observations, It is clear that the BiLSTM network outperforms over LSTM & GRU as is also claimed in various previous studies (Li et al 2021 ; Rai et al 2021 ). # Scenario 2: Forecast using traditional WT and BiLSTM (WT-BiLSTM (T))
Fig.
…”
Section: Simulation Resultssupporting
confidence: 83%
“…The BiLSTM network utilized the meteorological data to predict the hourly solar radiation. The results of the study clearly showed that the BiLSTM network is superior to the LSTM, SVR and LR models with RMSE of 98.44 W/m 2 , MAE of 71.49 W/m 2 (Li et al 2021 ) . Rai A. et al predicted the solar radiations for the time horizon of two months using the CNN and BiLSTM.…”
Section: Introductionmentioning
confidence: 99%
“…e teacher recommendation business receives information from the presentation layer, such as student information, teacher information, teacher matching log, and teacher-student evaluation log. e teacher recommendation business uses Spark to perform offline computation on this information, and the computation information during the algorithm is stored persistently in the HDFS file system using the HDFS Connector [19][20][21][22]. At the same time, when the teacher recommendation list request is sent by the teacher viewing business, Spark streaming is responsible for real-time computation of the data in Kafka, and the computation results are directly stored in MySQL.…”
Section: English Learning Information Platform Designmentioning
confidence: 99%