Deep Learning Stack LSTM Based MPPT Control of Dual Stage 100 kWp Grid-Tied Solar PV System

Deep Learning Stack LSTM Based MPPT Control of Dual Stage 100 kWp Grid-Tied Solar PV System

Rising global energy demand, predominantly satisfied by fossil fuels, triggers fuel price surges, fuel scarcity, and substantial greenhouse gas emissions. Solar photovoltaics (PV), as an abundant renewable alternative, can potentially address this demand, yet low cell efficiency (15-25%)...

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Bibliographic Details
Main Authors: Umair Younas, Ahmet Afsin Kulaksiz, Zunaib Ali
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
grid integration
long short-term memory network
maximum power point tracking
solar photovoltaic
deep neural network
Online Access:https://ieeexplore.ieee.org/document/10542138/
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https://ieeexplore.ieee.org/document/10542138/

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