A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …
Advanced methods for photovoltaic output power forecasting: A review
Forecasting is a crucial task for successfully integrating photovoltaic (PV) output power into
the grid. The design of accurate photovoltaic output forecasters remains a challenging issue …
the grid. The design of accurate photovoltaic output forecasters remains a challenging issue …
Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review
Photovoltaic (PV) technologies are expected to play an increasingly important role in future
energy production. In parallel, machine learning has gained prominence because of a …
energy production. In parallel, machine learning has gained prominence because of a …
Advancement of lithium-ion battery cells voltage equalization techniques: A review
Recently, the use of electric batteries has reached great heights due to the invention of
electric vehicles (EVs). Many lithium-ion battery cells are usually connected in series to meet …
electric vehicles (EVs). Many lithium-ion battery cells are usually connected in series to meet …
Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks
Accurate and credible ultra-short-term photovoltaic (PV) power production prediction is very
important in short-term resource planning, electric power dispatching, and operational …
important in short-term resource planning, electric power dispatching, and operational …
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
D Korkmaz - Applied Energy, 2021 - Elsevier
Photovoltaic (PV) power generation has high uncertainties due to the randomness and
imbalance nature of solar energy and meteorological parameters. Hence, accurate PV …
imbalance nature of solar energy and meteorological parameters. Hence, accurate PV …
A novel method based on time series ensemble model for hourly photovoltaic power prediction
Photovoltaic (PV) power generation technology is more and more widely used in smart
grids. Accurate prediction of PV power is very important for managing and planning of the …
grids. Accurate prediction of PV power is very important for managing and planning of the …
Completed review of various solar power forecasting techniques considering different viewpoints
Solar power has rapidly become an increasingly important energy source in many countries
over recent years; however, the intermittent nature of photovoltaic (PV) power generation …
over recent years; however, the intermittent nature of photovoltaic (PV) power generation …
[HTML][HTML] A Multi-step ahead photovoltaic power forecasting model based on TimeGAN, Soft DTW-based K-medoids clustering, and a CNN-GRU hybrid neural network
Q Li, X Zhang, T Ma, D Liu, H Wang, W Hu - Energy Reports, 2022 - Elsevier
Accurate photovoltaic (PV) power generation forecasting is very important for making
economic and reliable power dispatching plans. This study proposes a multi-step ahead PV …
economic and reliable power dispatching plans. This study proposes a multi-step ahead PV …
Ensemble approach of optimized artificial neural networks for solar photovoltaic power prediction
The use of data-driven ensemble approaches for the prediction of the solar Photovoltaic
(PV) power production is promising due to their capability of handling the intermittent nature …
(PV) power production is promising due to their capability of handling the intermittent nature …