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Muhammad Aslam
Muhammad Aslam
Department of Artificial Intelligence, Sejong University
Verified email at sejong.ac.kr
Title
Cited by
Cited by
Year
Emerging renewable and sustainable energy technologies: State of the art
A Hussain, SM Arif, M Aslam
Renewable and sustainable energy reviews 71, 12-28, 2017
6162017
Deep learning models for long-term solar radiation forecasting considering microgrid installation: A comparative study
M Aslam, JM Lee, HS Kim, SJ Lee, S Hong
Energies 13 (1), 147, 2019
1412019
Two-stage attention over LSTM with Bayesian optimization for day-ahead solar power forecasting
M Aslam, SJ Lee, SH Khang, S Hong
IEEE Access 9, 107387-107398, 2021
582021
Optimal siting and sizing of tri-generation equipment for developing an autonomous community microgrid considering uncertainties
A Hussain, SM Arif, M Aslam, SDA Shah
Sustainable Cities and Society 32, 318-330, 2017
492017
Deep learning application in power system with a case study on solar irradiation forecasting
A Muhammad, JM Lee, SW Hong, SJ Lee, EH Lee
2019 International Conference on Artificial Intelligence in Information and …, 2019
392019
N-version programming-based protection scheme for microgrids: A multi-agent system based approach
A Hussain, M Aslam, SM Arif
Sustainable Energy, Grids and Networks 6, 35-45, 2016
332016
A metamaterial inspired AMC backed dual band antenna for ISM and RFID applications
M Najumunnisa, ASC Sastry, BTP Madhav, S Das, N Hussain, SS Ali, ...
Sensors 22 (20), 8065, 2022
212022
Multi-step ahead wind power forecasting based on dual-attention mechanism
M Aslam, JS Kim, J Jung
Energy Reports 9, 239-251, 2023
172023
Artificial intelligence for antimicrobial resistance prediction: challenges and opportunities towards practical implementation
T Ali, S Ahmed, M Aslam
Antibiotics 12 (3), 523, 2023
162023
An Autoencoder-Based Network Intrusion Detection System for the SCADA System.
M Altaha, JM Lee, M Aslam, S Hong
J. Commun. 16 (6), 210-216, 2021
142021
Flare emission reduction utilizing solid oxide fuel cells at a natural gas processing plant
K Al-Khori, Y Bicer, MI Aslam, M Koc
Energy Reports 7, 5627-5638, 2021
132021
A standards-based approach for Auto-drawing single line diagram of multivendor smart distribution systems
A Hussain, M Aslam, SM Arif
International Journal of Electrical Power & Energy Systems 96, 357-367, 2018
132018
A multi-layer perceptron based deep learning model to quantify the energy potentials of a thin film a-Si PV system
M Aslam, JM Lee, S Hong
Energy Reports 6, 1331-1336, 2020
112020
Long-term solar radiation forecasting using a deep learning approach-GRUs
M Aslam, KH Seung, SJ Lee, JM Lee, S Hong, EH Lee
2019 IEEE 8th international conference on advanced power system automation …, 2019
112019
AE-LSTM based deep learning model for degradation rate influenced energy estimation of a PV system
M Aslam, JM Lee, MR Altaha, SJ Lee, S Hong
Energies 13 (17), 4373, 2020
92020
Security monitoring and network management for the power control network
S Hong, JM Lee, M Altaha, M Aslam
system 2, 3, 2020
92020
Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models
S Iftikhar, AM Karim, AM Karim, MA Karim, M Aslam, F Rubab, SK Malik, ...
Journal of Environmental Management 328, 116969, 2023
62023
A study on long-term solar radiation forecasting for PV in microgrid
HS Kim, M Aslam, MS Choi, SJ Lee
Proceedings of the APAP Conference, Jeju, Korea, 16-19, 2017
52017
A Machine Learning Architecture Replacing Heavy Instrumented Laboratory Tests: In Application to the Pullout Capacity of Geosynthetic Reinforced Soils
T Ali, W Haider, N Ali, M Aslam
Sensors 22 (22), 8699, 2022
42022
Network intrusion detection based on deep neural networks for the SCADA system
M Altaha, JM Lee, M Aslam, S Hong
Journal of Physics: Conference Series 1585 (1), 012038, 2020
42020
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