Short-Term Solar Power Predicting Model Based on Multi-Step CNN Stacked LSTM Technique

Short-Term Solar Power Predicting Model Based on Multi-Step CNN Stacked LSTM Technique

Variability in solar irradiance has an impact on the stability of solar systems and the grid’s safety. With the decreasing cost of solar panels and recent advancements in energy conversion technology, precise solar energy forecasting is critical for energy system integration. Despite extensive resea...

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Bibliographic Details
Main Authors: Neethu Elizabeth Michael, Manohar Mishra, Shazia Hasan, Ahmed Al-Durra
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
convolution neural network
deep learning
plane of array (POA) irradiance
solar Irradiance
solar forecasting
stacked LSTM
Online Access:https://www.mdpi.com/1996-1073/15/6/2150

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https://www.mdpi.com/1996-1073/15/6/2150

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