Very short term irradiance forecasting using the lasso

By Dazhi Yang, Zhen Ye, Li Hong Idris Lim, Zibo Dong. 2015

118 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/b6c6ee7b7aca1852d77d5fdd136c7b31cdabf775

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Muhammad Naveed Akhter
2. Hazlie Mokhlis
3. Noraisyah Mohamed Shah
4. Saad Mekhilef

In Electrical and Electronic Engineering

1. Muhammad Naveed Akhter
2. Hazlie Mokhlis
3. Noraisyah Mohamed Shah
4. Saad Mekhilef
5. Yousef A. Mahmoud
6. Ehab F. El-Saadany
7. Mohamed A. Abdelwahed
8. Zengshi Chen

In Renewable Energy, Sustainability and the Environment

1. Muhammad Naveed Akhter
2. Hazlie Mokhlis
3. Noraisyah Mohamed Shah
4. Saad Mekhilef
5. Yousef A. Mahmoud
6. Ehab F. El-Saadany
7. Mohamed A. Abdelwahed
8. Zengshi Chen

Citations in the corpus

• Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques (2019, result): “The proposed model showed better results as compared to univariate models, especially with few training data and many predictors [64].”