Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method

Z Qu, J Xu, Z Wang, R Chi, H Liu - Energy, 2021 - Elsevier
Electric power makes a significant contribution to society. Predicting power generation is
becoming increasingly important for electric power planning and energy utilization. A …

Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and …

P Lin, Z Peng, Y Lai, S Cheng, Z Chen, L Wu - Energy Conversion and …, 2018 - Elsevier
With the continuous consumption of fossil fuels such as coal, oil and natural gas, the
environmental energy problem has become the focus of attention in the world. The utilization …

Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms

A Azam, A Bardhan, MR Kaloop, P Samui, F Alanazi… - Scientific Reports, 2022 - nature.com
Resilient modulus (Mr) of subgrade soils is one of the crucial inputs in pavement structural
design methods. However, the spatial variability of soil properties and the nature of test …

Comparative analysis of mono-facial and bifacial photovoltaic modules for practical grid-connected solar power plant using PVsyst

M Eidiani, H Zeynal, A Ghavami… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Among thorny challenges, During the COVID-19, there has been a great deal of attention
paid on electric demand for hospitals and critical devices. Beside given unplanned power …

[PDF][PDF] An efficient MPPT based photovoltaic control model considering environmental parameters

H Zeynal, Z Zakaria, B Pourveis - International Journal of Power …, 2022 - academia.edu
This paper presents an efficient way for maximum power point tracking (MPPT) in
photovoltaic (PV) system. MPPT is one of the crucial issues when working with PV system as …

Long-term load forecasting using grey wolf optimizer-least-squares support vector machine

ZM Yasin, NA Salim, NFA Aziz, YM Ali… - … Journal of Artificial …, 2020 - search.proquest.com
Long term load forecasting data is important for grid expansion and power system operation.
Besides, it also important to ensure the generation capacity meet electricity demand at all …

Harmonic Distortion Prediction Model of a Grid-Connected Photovoltaic Using Grey Wolf Optimizer-Least Square Support Vector Machine

ZM Yasin, NA Salim, NF Ab Aziz - 2019 9th International …, 2019 - ieeexplore.ieee.org
This paper depicts a new technique for prediction of the total harmonic distortion (THD) in
Grid-Connected Photovoltaic System. Global environmental awareness, increasing demand …

Predicción de la Generación para un Sistema Fotovoltaico mediante la aplicación de técnicas de Minería de Datos

C Fabara, D Maldonado, M Soria… - Revista Técnica …, 2019 - scielo.senescyt.gob.ec
Este documento presenta un modelo de predicción de generación de energía mediante
técnicas de minería de datos para la central fotovoltaica ubicada en la Comunidad …

LSTM-based Distributed Photovoltaic Output Interval Prediction Method for Source-load Collaboration

B Li, Z Shi, Z Wu, Z Yang - 2023 8th International Conference …, 2023 - ieeexplore.ieee.org
With the continuous development of distributed energy, photovoltaic (PV) power emerges as
a significant construction to tradeoff the balance of power supply and demand. Since the …

SAGA-FCM-LSSVM model-based short-term power forecasting of photovoltaic power plants

ZN Peng, PJ Lin, YF Lai, ZC Chen, LJ Wu… - … Series: Earth and …, 2018 - iopscience.iop.org
With the rapid development of social economy, vigorously developing solar energy has
become a powerful means to solve energy and environmental problems. However, the …