Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

B Gao, X Huang, J Shi, Y Tai, J Zhang - Renewable Energy, 2020 - Elsevier
Accurate and reliable solar irradiance forecasting can bring significant benefits for managing
electricity generation and distributing modern smart grid. However, the characteristics of …

A novel method based on time series ensemble model for hourly photovoltaic power prediction

Z Xiao, X Huang, J Liu, C Li, Y Tai - Energy, 2023 - Elsevier
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 …

Analysis of data errors in the solar photovoltaic monitoring system database: An overview of nationwide power plants in Korea

J Choi, IW Lee, SW Cha - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Management services for solar photovoltaic power plants (PVs) have become an important
issue in today's era of increasing PV installations. The existence of error-free data is …

PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

PJG Nieto, FS Lasheras, E García-Gonzalo… - Science of the Total …, 2018 - Elsevier
Atmospheric particulate matter (PM) is one of the pollutants that may have a significant
impact on human health. Data collected over seven years in a city of the north of Spain is …

Data processing and quality verification for improved photovoltaic performance and reliability analytics

A Livera, M Theristis, E Koumpli… - Progress in …, 2021 - Wiley Online Library
Data integrity is crucial for the performance and reliability analysis of photovoltaic (PV)
systems, since actual in‐field measurements commonly exhibit invalid data caused by …

Analysis and impact evaluation of missing data imputation in day-ahead PV generation forecasting

T Kim, W Ko, J Kim - Applied Sciences, 2019 - mdpi.com
Over the past decade, PV power plants have increasingly contributed to power generation.
However, PV power generation widely varies due to environmental factors; thus, the …

Observed changes in extremes of daily rainfall and temperature in Jemma Sub-Basin, Upper Blue Nile Basin, Ethiopia

G Worku, E Teferi, A Bantider, YT Dile - Theoretical and Applied …, 2019 - Springer
Climate variability has been a threat to the socio-economic development of Ethiopia. This
paper examined the changes in rainfall, minimum, and maximum temperature extremes of …

Missing value imputation for short to mid-term horizontal solar irradiance data

H Demirhan, Z Renwick - Applied Energy, 2018 - Elsevier
Improving the accuracy of solar irradiance forecasting has become crucial since the use of
solar energy power has become more accessible due to increased efficiency and decreased …

SolarGAN: Multivariate solar data imputation using generative adversarial network

W Zhang, Y Luo, Y Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Photovoltaic (PV) is receiving increasing attention due to its sustainability and low carbon
footprint. However, the penetration level of PV is still relatively low because of its …

Sliding window approach with first-order differencing for very short-term solar irradiance forecasting using deep learning models

A Bhatt, W Ongsakul, JG Singh - Sustainable Energy Technologies and …, 2022 - Elsevier
The intermittent behavior of solar is usually responsible for creating uncertainty while
generating power. By implementing suitable forecasting techniques for solar irradiance (SI) …