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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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
This paper depicts a new technique for prediction of the total harmonic distortion (THD) in
Grid-Connected Photovoltaic System. Global environmental awareness, increasing demand …
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 …
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 …
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 …
become a powerful means to solve energy and environmental problems. However, the …