Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism

Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism

Photovoltaic power generation forecasting is an important topic in the field of sustainable power system design, energy conversion management, and smart grid construction. Difficulties arise while the generated PV power is usually unstable due to the variability of solar irradiance, temperature, and...

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Bibliographic Details
Main Authors: Hangxia Zhou, Yujin Zhang, Lingfan Yang, Qian Liu, Ke Yan, Yang Du
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
PV power generation
short-term forecasting
long short term memory
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/8736879/

Internet

https://ieeexplore.ieee.org/document/8736879/

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