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Power Plant Energy Predictions Based on Thermal Factors Using Ridge and Support Vector Regressor Algorithms

Energies (Basel), 2021-11, Vol.14 (21), p.7254

2021

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A Fault Identification Method for Metal Oxide Arresters Combining Suppression of Environmental Temperature and Humidity Interference with a Stacked Autoencoder

Energies (Basel), 2023-12, Vol.16 (24), p.8033

2023

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Machine Learning-Based Indoor Relative Humidity and CO2 Identification Using a Piecewise Autoregressive Exogenous Model: A Cob Prototype Study

Energies (Basel), 2024-01, Vol.17 (1), p.243

2024

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Predicting the Performance of PEM Fuel Cells by Determining Dehydration or Flooding in the Cell Using Machine Learning Models

Energies (Basel), 2023-10, Vol.16 (19), p.6968

2023

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Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables

Energies (Basel), 2019-04, Vol.12 (8), p.1529

2019

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Air Temperature Forecasting Using Machine Learning Techniques: A Review

Energies (Basel), 2020-08, Vol.13 (16), p.4215

2020

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Estimation of Unmeasured Room Temperature, Relative Humidity, and CO2 Concentrations for a Smart Building Using Machine Learning and Exploratory Data Analysis

Energies (Basel), 2022-06, Vol.15 (12), p.4213

2022

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Novel Proposal for Prediction of CO2 Course and Occupancy Recognition in Intelligent Buildings within IoT

Energies (Basel), 2019-11, Vol.12 (23), p.4541

2019

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A Time Series Forecasting of Global Horizontal Irradiance on Geographical Data of Najran Saudi Arabia

Energies (Basel), 2022-02, Vol.15 (3), p.928

Alghamdi, Hisham A.

2022

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Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique

Energies (Basel), 2020-08, Vol.13 (15), p.3889

2020

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In Situ Monitoring of Drying Process of Masonry Walls

Energies (Basel), 2020-12, Vol.13 (23), p.6190

2020

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Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units

Energies (Basel), 2019-10, Vol.12 (21), p.4055

2019

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Optimization Algorithms: Optimal Parameters Computation for Modeling the Polarization Curves of a PEFC Considering the Effect of the Relative Humidity

Energies (Basel), 2021-09, Vol.14 (18), p.5631

2021

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Optimising Convolutional Neural Networks to Predict the Hygrothermal Performance of Building Components

Energies (Basel), 2019-10, Vol.12 (20), p.3966

2019

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Solar Power Forecasting Using CNN-LSTM Hybrid Model

Energies (Basel), 2022-11, Vol.15 (21), p.8233

2022

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Comparison of Machine Learning Methods in Electrical Tomography for Detecting Moisture in Building Walls

Energies (Basel), 2021-05, Vol.14 (10), p.2777

2021

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Design of a Novel Remote Monitoring System for Smart Greenhouses Using the Internet of Things and Deep Convolutional Neural Networks

Energies (Basel), 2021-08, Vol.14 (16), p.5045

2021

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Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm

Energies (Basel), 2020-04, Vol.13 (8), p.1879

2020

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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar

Energies (Basel), , Vol.12 (14), p.2782

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Historical Buildings Dampness Analysis Using Electrical Tomography and Machine Learning Algorithms

Energies (Basel), 2021-03, Vol.14 (5), p.1307

2021

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Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting

Energies (Basel), 2022-07, Vol.15 (14), p.5232

2022

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Using Transfer Learning and XGBoost for Early Detection of Fires in Offshore Wind Turbine Units

Energies (Basel), 2024-05, Vol.17 (10), p.2330

2024

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Day-Ahead Hourly Solar Photovoltaic Output Forecasting Using SARIMAX, Long Short-Term Memory, and Extreme Gradient Boosting: Case of the Philippines

Energies (Basel), 2023-12, Vol.16 (23), p.7823

2023

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Modeling and Predicting the Mechanical Behavior of Standard Insulating Kraft Paper Used in Power Transformers under Thermal Aging

Energies (Basel), 2023-09, Vol.16 (18), p.6455

2023

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A Hybrid Control-Oriented PEMFC Model Based on Echo State Networks and Gaussian Radial Basis Functions

Energies (Basel), 2024-01, Vol.17 (2), p.508

2024

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Power Plant Energy Predictions Based on Thermal Factors Using Ridge and Support Vector Regressor Algorithms

A Fault Identification Method for Metal Oxide Arresters Combining Suppression of Environmental Temperature and Humidity Interference with a Stacked Autoencoder

Machine Learning-Based Indoor Relative Humidity and CO2 Identification Using a Piecewise Autoregressive Exogenous Model: A Cob Prototype Study

Predicting the Performance of PEM Fuel Cells by Determining Dehydration or Flooding in the Cell Using Machine Learning Models

Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables

Air Temperature Forecasting Using Machine Learning Techniques: A Review

Estimation of Unmeasured Room Temperature, Relative Humidity, and CO2 Concentrations for a Smart Building Using Machine Learning and Exploratory Data Analysis

Novel Proposal for Prediction of CO2 Course and Occupancy Recognition in Intelligent Buildings within IoT

A Time Series Forecasting of Global Horizontal Irradiance on Geographical Data of Najran Saudi Arabia

Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique

In Situ Monitoring of Drying Process of Masonry Walls

Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units

Optimization Algorithms: Optimal Parameters Computation for Modeling the Polarization Curves of a PEFC Considering the Effect of the Relative Humidity

Optimising Convolutional Neural Networks to Predict the Hygrothermal Performance of Building Components

Solar Power Forecasting Using CNN-LSTM Hybrid Model

Comparison of Machine Learning Methods in Electrical Tomography for Detecting Moisture in Building Walls

Design of a Novel Remote Monitoring System for Smart Greenhouses Using the Internet of Things and Deep Convolutional Neural Networks

Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm

Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar

Historical Buildings Dampness Analysis Using Electrical Tomography and Machine Learning Algorithms

Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting

Using Transfer Learning and XGBoost for Early Detection of Fires in Offshore Wind Turbine Units

Day-Ahead Hourly Solar Photovoltaic Output Forecasting Using SARIMAX, Long Short-Term Memory, and Extreme Gradient Boosting: Case of the Philippines

Modeling and Predicting the Mechanical Behavior of Standard Insulating Kraft Paper Used in Power Transformers under Thermal Aging

A Hybrid Control-Oriented PEMFC Model Based on Echo State Networks and Gaussian Radial Basis Functions

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