A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

R Ahmed, V Sreeram, Y Mishra, MD Arif - Renewable and Sustainable …, 2020 - Elsevier
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 …

Review of photovoltaic power forecasting

J Antonanzas, N Osorio, R Escobar, R Urraca… - Solar energy, 2016 - Elsevier
Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production

A Agga, A Abbou, M Labbadi, Y El Houm… - Electric Power Systems …, 2022 - Elsevier
Climate change is pushing an increasing number of nations to use green energy resources,
particularly solar power as an applicable substitute to traditional power sources. However …

Forecasting of photovoltaic power generation and model optimization: A review

UK Das, KS Tey, M Seyedmahmoudian… - … and Sustainable Energy …, 2018 - Elsevier
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …

A hybrid deep learning model for short-term PV power forecasting

P Li, K Zhou, X Lu, S Yang - Applied Energy, 2020 - Elsevier
The integration of PV power brings great economic and environmental benefits. However,
the high penetration of PV power may challenge the planning and operation of the existing …

History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

D Yang, J Kleissl, CA Gueymard, HTC Pedro… - Solar Energy, 2018 - Elsevier
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …

Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

On recent advances in PV output power forecast

MQ Raza, M Nadarajah, C Ekanayake - Solar Energy, 2016 - Elsevier
In last decade, the higher penetration of renewable energy resources (RES) in energy
market was encouraged by implementing the energy polices in several developed and …

Advanced methods for photovoltaic output power forecasting: A review

A Mellit, A Massi Pavan, E Ogliari, S Leva, V Lughi - Applied Sciences, 2020 - mdpi.com
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 …

Spatio-temporal graph neural networks for multi-site PV power forecasting

J Simeunović, B Schubnel, PJ Alet… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate forecasting of solar power generation with fine temporal and spatial resolution is
vital for the operation of the power grid. However, state-of-the-art approaches that combine …