Solar forecasting methods for renewable energy integration

RH Inman, HTC Pedro, CFM Coimbra - Progress in energy and combustion …, 2013 - Elsevier
The higher penetration of renewable resources in the energy portfolios of several
communities accentuates the need for accurate forecasting of variable resources (solar …

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 …

Best practices handbook for the collection and use of solar resource data for solar energy applications

M Sengupta, A Habte, S Wilbert, C Gueymard… - 2021 - osti.gov
As the world looks for low-carbon sources of energy, solar power stands out as the single
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …

Recent advances in intra-hour solar forecasting: A review of ground-based sky image methods

F Lin, Y Zhang, J Wang - International Journal of Forecasting, 2023 - Elsevier
As the penetration of solar energy generation into power systems keeps rising, intra-hour
solar forecasting (IHSF) is becoming increasingly important for the secure and economical …

Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey

Y Nie, X Li, Q Paletta, M Aragon, A Scott… - … and Sustainable Energy …, 2024 - Elsevier
Sky image-based solar forecasting using deep learning has been recognized as a
promising approach in reducing the uncertainty of solar power generation. However, a major …

A minutely solar irradiance forecasting method based on real-time sky image-irradiance map** model

F Wang, Z Xuan, Z Zhen, Y Li, K Li, L Zhao… - Energy Conversion and …, 2020 - Elsevier
Accurate minutely solar irradiance forecasting is the basis of minute-level photovoltaic (PV)
power forecasting. In this paper, a minutely solar irradiance forecasting method based on …

Benchmarking of solar irradiance nowcast performance derived from all-sky imagers

SA Logothetis, V Salamalikis, S Wilbert, J Remund… - Renewable Energy, 2022 - Elsevier
Fluctuations of the incoming solar irradiance impact the power generation from photovoltaic
and concentrating solar thermal power plants. Accurate solar nowcasting becomes …

Very short-term solar irradiance forecast using all-sky imaging and real-time irradiance measurements

M Caldas, R Alonso-Suárez - Renewable energy, 2019 - Elsevier
A hybrid forecasting methodology to predict one-minute averaged solar irradiance one to ten
minutes in advance is presented and evaluated. The methodology combines the use of all …

3D cloud detection and tracking system for solar forecast using multiple sky imagers

Z Peng, D Yu, D Huang, J Heiser, S Yoo, P Kalb - Solar Energy, 2015 - Elsevier
We propose a system for forecasting short-term solar irradiance based on multiple total sky
imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three …

Prediction of solar irradiance and photovoltaic solar energy product based on cloud coverage estimation using machine learning methods

S Park, Y Kim, NJ Ferrier, SM Collis, R Sankaran… - Atmosphere, 2021 - mdpi.com
Cloud cover estimation from images taken by sky-facing cameras can be an important input
for analyzing current weather conditions and estimating photovoltaic power generation. The …