A review on global solar radiation prediction with machine learning models in a comprehensive perspective

Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …

Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges

P Lu, L Ye, Y Zhao, B Dai, M Pei, Y Tang - Applied Energy, 2021 - Elsevier
The integration of large-scale wind power introduces issues in modern power systems
operations due to its strong randomness and volatility. These issues can be resolved via …

Classification and summarization of solar irradiance and power forecasting methods: A thorough review

B Yang, T Zhu, P Cao, Z Guo, C Zeng… - CSEE Journal of …, 2021 - ieeexplore.ieee.org
Solar forecasting is of great importance for ensuring safe and stable operations of the power
system with increased solar power integration, thus numerous models have been presented …

Hybrid techniques to predict solar radiation using support vector machine and search optimization algorithms: a review

JM Álvarez-Alvarado, JG Ríos-Moreno… - Applied Sciences, 2021 - mdpi.com
The use of intelligent algorithms for global solar prediction is an ideal tool for research
focused on the use of solar energy. Forecasting solar radiation supports different …

A novel hybrid model for solar radiation forecasting using support vector machine and bee colony optimization algorithm: review and case study

M Guermoui, K Gairaa, J Boland… - Journal of Solar …, 2021 - asmedigitalcollection.asme.org
This article proposes a new hybrid least squares-support vector machine and artificial bee
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …

Applications for solar irradiance nowcasting in the control of microgrids: A review

R Samu, M Calais, GM Shafiullah, M Moghbel… - … and Sustainable Energy …, 2021 - Elsevier
The integration of solar photovoltaic (PV) into electricity networks introduces technical
challenges due to varying PV output. Rapid ramp events due to cloud movements are of …

[HTML][HTML] A fuzzy theory-based machine learning method for workdays and weekends short-term load forecasting

C Li - Energy and Buildings, 2021 - Elsevier
Countries around the globe have introduced renewable energies (RE) and minimized the
dependency of fossil resources in power systems to address extensive environmental risks …

Solar radiation prediction using a novel hybrid model of ARMA and NARX

I Sansa, Z Boussaada, NM Bellaaj - Energies, 2021 - mdpi.com
The prediction of solar radiation has a significant role in several fields such as photovoltaic
(PV) power production and micro grid management. The interest in solar radiation prediction …

A robust integrated Bayesian multi-model uncertainty estimation framework (IBMUEF) for quantifying the uncertainty of hybrid meta-heuristic in global horizontal …

A Seifi, M Ehteram, M Dehghani - Energy Conversion and Management, 2021 - Elsevier
Accurate and stable prediction of global horizontal irradiation (GHI) is vital for managing
energy systems, irrigation planning, and also decision making for future investment. Existing …

[PDF][PDF] Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition

K Bentata, A Mohammedi… - Archives of Control …, 2021 - bibliotekanauki.pl
The solar photovoltaic output power fluctuates according to solar irradiation, temperature,
and load impedance variations. Due to the operating point fluctuations, extracting maximum …