Number of items: 7.
AlShafeey, Mutaz and Csáki, Csaba 
ORCID: https://orcid.org/0000-0002-8245-1002
(2024)
Adaptive machine learning for forecasting in wind energy : A dynamic, multi-algorithmic approach for short and long-term predictions.
Heliyon, 10
(15).
DOI 10.1016/j.heliyon.2024.e34807
AlShafeey, Mutaz and Saleh Saleh, Mohamad Ali
(2024)
Assessing inflation and greenhouse gas emissions interplay via neural network analysis : a comparative study of energy use in the USA, EU, and China.
Environmental Sciences Europe, 36
.
DOI https://doi.org/10.1186/s12302-024-00905-w
AlShafeey, Mutaz and Csáki, Csaba ORCID: https://orcid.org/0000-0002-8245-1002
(2021)
Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods.
Energy Reports, 7
.
pp. 7601-7614.
DOI https://doi.org/10.1016/j.egyr.2021.10.125
AlShafeey, Mutaz and Rashdan, Omar
(2024)
Genetic modification optimization technique : A neural network multi-objective energy management approach.
Energy and AI, 18
.
DOI 10.1016/j.egyai.2024.100417
AlShafeey, Mutaz and Rashdan, Omar
(2023)
Quantifying the impact of energy consumption sources on GHG emissions in major economies: A machine learning approach.
Energy Strategy Reviews, 49
.
DOI https://doi.org/10.1016/j.esr.2023.101159
AlShafeey, Mutaz and Csáki, Csaba ORCID: https://orcid.org/0000-0002-8245-1002
(2023)
The impact of input data resolution on neural network forecasting models for wind and photovoltaic energy generation using time series data.
Environmental Progress and Sustainable Energy, 42
(3).
DOI https://doi.org/10.1002/ep.14039
AlShafeey, Mutaz
(2024)
Unraveling climate trends in the mediterranean : a hybrid machine learning and statistical approach.
Modeling Earth Systems and Environment
.
DOI 10.1007/s40808-024-02117-w
This list was generated on Fri Nov 22 01:57:10 2024 UTC.
