Hybrid ultra-short-term PV power forecasting system for deterministic forecasting and uncertainty analysis

J Wang, Y Yu, B Zeng, H Lu - Energy, 2024 - Elsevier
The rapid development of the photovoltaic industry provides a new source of power for the
continued operation of the over-consumed energy world. While providing new opportunities …

Historical PV-output characteristic extraction based weather-type classification strategy and its forecasting method for the day-ahead prediction of PV output

L Zheng, R Su, X Sun, S Guo - Energy, 2023 - Elsevier
With photovoltaic (PV) penetration increasing, PV-output prediction has become a research
hotspot. Due to the close correlation between PV-output fluctuation and weather conditions …

[HTML][HTML] A short-term prediction model to forecast power of photovoltaic based on MFA-Elman

XY Ma, XH Zhang - Energy Reports, 2022 - Elsevier
Due to the low accuracy and reliability as well as slow prediction speed of photovoltaic (PV)
power short-term prediction, a short-term PV power prediction method based on MFA-Elman …

A stacked ensemble forecast for photovoltaic power plants combining deterministic and stochastic methods

SV Oprea, A Bâra - Applied Soft Computing, 2023 - Elsevier
Feature engineering (or creation of new features) that strengthens the importance of
fundamental variables (eg, cloud cover, partial shading, solar irradiance) is essential in …

Short‐term wind power prediction based on stacked denoised auto‐encoder deep learning and multi‐level transfer learning

X Peng, Z Yang, Y Li, B Wang, J Che - Wind Energy, 2023 - Wiley Online Library
Wind power prediction (WPP) has an important impact on the security and reliability
operations of the power grid. The major difficulty in power prediction of new, expanded, or …

Forecasting Models Applied in Solar Photovoltaic and Wind Energy: A Systematic Mapping Study

W Castillo-Rojas, JP Salinas - IEEE Access, 2024 - ieeexplore.ieee.org
The effective management of renewable energy facilities, particularly those utilizing solar PV
and wind technologies, faces a number of challenges such as weather variability, data …

Overview of Day-ahead Solar Power Forecasts Based on Weather Classifications and a Case Study in Taiwan

YK Wu, QT Phan, YJ Zhong - IEEE Transactions on Industry …, 2023 - ieeexplore.ieee.org
Solar power forecasting is essential for optimizing energy management and ensuring stable
grid operations. Accurately forecasting solar irradiance is a key factor to improve solar power …

[HTML][HTML] Prediction of Short-Term Winter Photovoltaic Power Generation Output of Henan Province Using Genetic Algorithm–Backpropagation Neural Network

D Xia, L Li, B Zhang, M Li, C Wang, Z Gong, AA Shagali… - Processes, 2024 - mdpi.com
In the low-carbon era, photovoltaic power generation has emerged as a pivotal focal point.
The inherent volatility of photovoltaic power generation poses a substantial challenge to the …

Joint distribution of lightning and wind speed and its impact on the transmission system

Y Xia, B Li, X Zhou, S Su - Frontiers in Energy Research, 2024 - frontiersin.org
Distribution of lightning plays a key role in lightning protection of transmission lines. The
design of wind deviation under lightning overvoltage of the transmission tower is an …

An Optimal Algorithm for Renewable Energy Generation Based on Neural Network

W Zhao, I Khan, SF Akhtar… - International Journal of …, 2022 - Wiley Online Library
Solar energy is a costless and readily available form of energy that has shown to be one of
the cleanest and most plentiful renewable energy sources. Various large‐scale solar …