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

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-base...

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Bibliographic Details
Published in:	Energies (Basel) Vol. 14; no. 2; p. 436
Main Authors:	Ahn, Hyung Keun, Park, Neungsoo
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.01.2021
Subjects:	Accuracy Algorithms Alternative energy sources Correlation analysis Electricity distribution Experiments Humidity Internet of Things Internet of Things (IoT) Neural networks Onsite photovoltaic power forecasting algorithm recurrent neural networks (RNN) Renewable resources Sensors Solar energy Wavelet transforms Weather Weather forecasting
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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