Heart disease classification based on ECG using machine learning models

SM Malakouti - Biomedical Signal Processing and Control, 2023 - Elsevier
One of the most critical steps when diagnosing cardiovascular disorders is examining and
processing ECG data. Classification of health and ill persons is the primary focus of research …

[HTML][HTML] The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction

SM Malakouti, MB Menhaj, AA Suratgar - Cleaner Engineering and …, 2023 - Elsevier
It is essential to have accurate projections of the quantity of solar energy that will be
generated in the future to improve the competitiveness of solar power plants in the energy …

[HTML][HTML] Utilizing time series data from 1961 to 2019 recorded around the world and machine learning to create a Global Temperature Change Prediction Model

SM Malakouti - Case Studies in Chemical and Environmental …, 2023 - Elsevier
Since 1880, the Earth's temperature has increased at a pace of 0.14° Fahrenheit (0.08°
Celsius) every decade; however, the rate of warming since 1981 is more than double that, at …

[HTML][HTML] Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation

SM Malakouti - Case Studies in Chemical and Environmental …, 2023 - Elsevier
This research used machine-learning-based forecasting models to estimate a Supervisory
control and data acquisition system's wind speed and electricity production. Six machine …

[HTML][HTML] Advanced techniques for wind energy production forecasting: Leveraging multi-layer Perceptron+ Bayesian optimization, ensemble learning, and CNN-LSTM …

SM Malakouti, F Karimi, H Abdollahi, MB Menhaj… - Case Studies in …, 2024 - Elsevier
Due to the shortage of fossil fuels in many countries, power plants that rely on fossil fuels will
be phased out in favor of wind turbines as the primary source of energy generation. These …

Adaptive short-term wind power forecasting with concept drifts

Y Li, Z Wu, Y Su - Renewable Energy, 2023 - Elsevier
The instability of wind power has a serious impact on the power grid system, and an
accurate wind power forecasting is greatly demanded in practice. Due to the time-varying …

[HTML][HTML] Estimating the output power and wind speed with ML methods: a case study in Texas

SM Malakouti - Case Studies in Chemical and Environmental …, 2023 - Elsevier
Because there is such a significant problem with global warming and emissions of
greenhouse gases, we decided to reduce the adverse effects on the environment caused by …

Unlocking the potential: A review of artificial intelligence applications in wind energy

S Dörterler, S Arslan, D Özdemir - Expert Systems, 2024 - Wiley Online Library
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …

[HTML][HTML] Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in Predicting Wind Speed and Energy …

SM Malakouti - Intelligent Systems with Applications, 2023 - Elsevier
Academics have been interested in renewable energy for a long time, and research has
been done on how to use it, collect it, manage it, make it more efficient, and find uses for it …

Stability and safety study of pumped storage units based on time-shifted multi-scale cosine similarity entropy

X Li, Y Guo, B Xiao, Q Jing, Z Yun - Journal of Energy Storage, 2024 - Elsevier
The diagnosis of vibration signals of pumped storage units is crucial to the safe and stable
operation of the units. In this paper, a fault diagnosis method with high recognition rate and …