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Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting

Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The primary challenge in solar energy production lies in the volatility and intermittency of PV system power generation, primarily due to unpredictabl...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2024
Matèries:
two-diode model
parameter estimation
gray wolf optimizer
photovoltaic (PV)
incremental conductance (InC)
dragonfly (DA)
maximum power point tracking (MPPT)
perturb and observe (P&O)
adaptive cuckoo search optimization (ACS)
particle swarm optimization (PSO)
local maxima (LM)
complex partial shading (CPS)
partial shading (PS)
photovoltaic power forecast
solar energy
Temporal Fusion Transformer
deep learning
artificial intelligence
deep reinforcement learning
double deep Q network
photovoltaic mathematical model
photovoltaic systems
ensemble bagged trees
anomaly detection
shading
electrical faults
statistical control charts
shading ratio estimation
photovoltaics
total-sky imaging
cloud estimation
artificial intelligence (AI)
photovoltaic (PV) systems
dust cleaning
renewable energy
optimization
cost minimization
BIPV
PV power forecasting
machine learning
gradient boosting algorithms
maximum power point tracker (MPPT)
photovoltaic
partial shading conditions (PSCs)
dandelion optimizer
monitoring system
fault diagnosis
internet of things
shallow neural networks
recurrent neural networks
predictive hybrid model
photovoltaic energy
photovoltaic energy prediction
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Accés en línia:ONIX_20240514_9783725800674_324
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