Forecasting power output of solar photovoltaic system using wavelet transform and artificial intelligence techniques

P Mandal, STS Madhira, J Meng, RL Pineda - Procedia Computer …, 2012 - Elsevier
With increased penetration of solar as a variable energy resource (VER), solar photovoltaic
(PV) power production is rapidly increasing into large-scale power industries. Since power …

A power prediction method for photovoltaic power plant based on wavelet decomposition and artificial neural networks

H Zhu, X Li, Q Sun, L Nie, J Yao, G Zhao - Energies, 2015 - mdpi.com
The power prediction for photovoltaic (PV) power plants has significant importance for their
grid connection. Due to PV power's periodicity and non-stationary characteristics, traditional …

Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

AT Eseye, J Zhang, D Zheng - Renewable energy, 2018 - Elsevier
Photovoltaic (PV) solar power generation is always associated with uncertainties due to
solar irradiance and other weather parameters intermittency. This creates a huge barrier in …

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network

H Wang, H Yi, J Peng, G Wang, Y Liu, H Jiang… - Energy conversion and …, 2017 - Elsevier
The penetration of photovoltaic (PV) energy into modern electric power and energy systems
has been gradually increased in recent years due to its benefits of being abundant …

Deep neural network for forecasting of photovoltaic power based on wavelet packet decomposition with similar day analysis

X Liu, Y Liu, X Kong, L Ma, AH Besheer, KY Lee - Energy, 2023 - Elsevier
Photovoltaic (PV) power forecasting (PVPF) plays an important role in the scheduling and
operation of modern power systems. Considering the highly varying and complex features of …

[HTML][HTML] Trends and gaps in photovoltaic power forecasting with machine learning

A Alcañiz, D Grzebyk, H Ziar, O Isabella - Energy Reports, 2023 - Elsevier
The share of solar energy in the electricity mix increases year after year. Knowing the
production of photovoltaic (PV) power at each instant of time is crucial for its integration into …

A photovoltaic power forecasting model based on dendritic neuron networks with the aid of wavelet transform

T Zhang, C Lv, F Ma, K Zhao, H Wang, GMP O'Hare - Neurocomputing, 2020 - Elsevier
The ever increasing proportion of photovoltaic (PV), which is, in effect, a random and
intermittent energy source, makes PV power forecasting increasingly important for power …

Solar photovoltaic generation forecasting methods: A review

S Sobri, S Koohi-Kamali, NA Rahim - Energy conversion and management, 2018 - Elsevier
Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …

Energy management supporting high penetration of solar photovoltaic generation for smart grid using solar forecasts and pumped hydro storage system

P Chaudhary, M Rizwan - Renewable Energy, 2018 - Elsevier
The growing penetration level of solar photovoltaic technology is becoming a challenging
task in the smart energy management systems. The power generated from the solar …

A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast

V Kushwaha, NM Pindoriya - Renewable Energy, 2019 - Elsevier
A very short-term solar PV power generation forecast can be extremely helpful for real-time
balancing operation in an electricity market which in turn will profit both energy suppliers as …