Short-term forecast for photovoltaic power generation and development of measuring equipment

2014 ◽  
Author(s):  
Hiroaki Kobayashi ◽  
Junichi Arai
Keyword(s):  
Power Generation ◽  
Measuring Equipment ◽  
Short Term ◽  
Short Term Forecast ◽  
Photovoltaic Power ◽  
Term Forecast

scholarly journals Deep RNN-Based Photovoltaic Power Short-Term Forecast Using Power IoT Sensors

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 436
Author(s):  
Hyung Keun Ahn ◽  
Neungsoo Park
Keyword(s):  
Power Generation ◽  
Forecast Model ◽  
Experimental Results ◽  
Short Term ◽  
Time Step ◽  
Short Term Forecast ◽  
Term Forecast ◽  
Weather Changes ◽  
The Impact ◽  
Pv Power Generation

Photovoltaic (PV) power fluctuations caused by weather changes can lead to short-term mismatches in power demand and supply. Therefore, to operate the power grid efficiently and reliably, short-term PV power forecasts are required against these fluctuations. In this paper, we propose a deep RNN-based PV power short-term forecast. To reflect the impact of weather changes, the proposed model utilizes the on-site weather IoT dataset and power data, collected in real-time. We investigated various parameters of the proposed deep RNN-based forecast model and the combination of weather parameters to find an accurate prediction model. Experimental results showed that accuracies of 5 and 15 min ahead PV power generation forecast, using 3 RNN layers with 12 time-step, were 98.0% and 96.6% based on the normalized RMSE, respectively. Their R2-scores were 0.988 and 0.949. In experiments for 1 and 3 h ahead of PV power generation forecasts, their accuracies were 94.8% and 92.9%, respectively. Also, their R2-scores were 0.963 and 0.927. These experimental results showed that the proposed deep RNN-based short-term forecast algorithm achieved higher prediction accuracy.

scholarly journals A Planned Power Generation for Battery-Assisted Photovoltaic System Using Short-Term Forecast

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 125238-125246
Author(s):  
Ryu Ando ◽  
Hideo Ishii ◽  
Yasuhiro Hayashi ◽  
Guiping Zhu
Keyword(s):  
Power Generation ◽  
Photovoltaic System ◽  
Short Term ◽  
Short Term Forecast ◽  
Term Forecast

Short-Term Forecast Analysis on Wind Power Generation Data

2021 ◽  
Author(s):  
Arun Sukumaran Nair ◽  
Prakash Ranganathan ◽  
Cathy Finley ◽  
Naima Kaabouch
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Power Generation ◽  
Short Term ◽  
Short Term Forecast ◽  
Term Forecast
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