A current perspective on the accuracy of incoming solar energy forecasting
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …
results reported in 1705 accuracy tests reported in several geographic regions (North …
A comprehensive review and analysis of solar forecasting techniques
In the last two decades, renewable energy has been paid immeasurable attention to toward
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
[HTML][HTML] Time series ARIMA model for prediction of daily and monthly average global solar radiation: The case study of Seoul, South Korea
MH Alsharif, MK Younes, J Kim - Symmetry, 2019 - mdpi.com
Forecasting solar radiation has recently become the focus of numerous researchers due to
the growing interest in green energy. This study aims to develop a seasonal auto-regressive …
the growing interest in green energy. This study aims to develop a seasonal auto-regressive …
Forecasting solar power using long-short term memory and convolutional neural networks
W Lee, K Kim, J Park, J Kim, Y Kim - IEEE access, 2018 - ieeexplore.ieee.org
As solar photovoltaic (PV) generation becomes cost-effective, solar power comes into its
own as the alternative energy with the potential to make up a larger share of growing energy …
own as the alternative energy with the potential to make up a larger share of growing energy …
[HTML][HTML] A novel EMD and causal convolutional network integrated with Transformer for ultra short-term wind power forecasting
N Li, J Dong, L Liu, H Li, J Yan - International Journal of Electrical Power & …, 2023 - Elsevier
Accurate wind power forecasting can enhance the safety, stability, economy and
controllability of the power system. Traditional physical methods and statistical methods are …
controllability of the power system. Traditional physical methods and statistical methods are …
[HTML][HTML] Systematic review on impact of different irradiance forecasting techniques for solar energy prediction
K Sudharshan, C Naveen, P Vishnuram… - Energies, 2022 - mdpi.com
As non-renewable energy sources are in the verge of exhaustion, the entire world turns
towards renewable sources to fill its energy demand. In the near future, solar energy will be …
towards renewable sources to fill its energy demand. In the near future, solar energy will be …
Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network
Owing to a shortage of fossil fuels, environmental pollution and the greenhouse effect,
renewable energy generation has become important in a modern smart grid. However, the …
renewable energy generation has become important in a modern smart grid. However, the …
An accurate GRU-based power time-series prediction approach with selective state updating and stochastic optimization
Accurate power time-series prediction is an important application for building new
industrialized smart cities. The gated recurrent units (GRUs) models have been successfully …
industrialized smart cities. The gated recurrent units (GRUs) models have been successfully …
[HTML][HTML] Solar radiation forecasting using machine learning and ensemble feature selection
ES Solano, P Dehghanian, CM Affonso - Energies, 2022 - mdpi.com
Accurate solar radiation forecasting is essential to operate power systems safely under high
shares of photovoltaic generation. This paper compares the performance of several machine …
shares of photovoltaic generation. This paper compares the performance of several machine …
A robust auto encoder-gated recurrent unit (AE-GRU) based deep learning approach for short term solar power forecasting
The increasing presence of solar power plants shows its potency as one of the key
renewable energy resource to fulfill energy needs of the community. This increasing …
renewable energy resource to fulfill energy needs of the community. This increasing …