| Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques MN Akhter, S Mekhilef, H Mokhlis, N Mohamed Shah IET Renewable Power Generation 13 (7), 1009-1023, 2019 | 361 | 2019 |
| Sustainable solutions for advanced energy management system of campus microgrids: Model opportunities and future challenges HA Muqeet, H Javed, MN Akhter, M Shahzad, HM Munir, MU Nadeem, ... Sensors 22 (6), 2345, 2022 | 55 | 2022 |
| An hour-ahead PV power forecasting method based on an RNN-LSTM model for three different PV plants MN Akhter, S Mekhilef, H Mokhlis, ZM Almohaimeed, MA Muhammad, ... Energies 15 (6), 2243, 2022 | 53 | 2022 |
| A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems MN Akhter, S Mekhilef, H Mokhlis, R Ali, M Usama, MA Muhammad, ... Applied Energy 307, 118185, 2022 | 49 | 2022 |
| Performance assessment of three grid-connected photovoltaic systems with combined capacity of 6.575 kWp in Malaysia MN Akhter, S Mekhilef, H Mokhlis, L Olatomiwa, MA Muhammad Journal of Cleaner Production 277, 123242, 2020 | 35 | 2020 |
| Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study F Althoey, MN Akhter, ZS Nagra, HH Awan, F Alanazi, MA Khan, ... Case Studies in Construction Materials 18, e01774, 2023 | 25 | 2023 |
| Scheduling and Sizing of Campus Microgrid Considering Demand Response and Economic Analysis L Bin, M Shahzad, H Javed, HA Muqeet, MN Akhter, R Liaqat, ... Sensors 22 (16), 6150, 2022 | 20 | 2022 |
| Review on Application of Photovoltaic Forecasting using Ma-chine Learning for Very-Short to Long-Term Forecasting NMS Putri Nor Liyana Mohamad Radzi *, Muhammad Naveed Akhter, Saad Mekhilef * Sustainability, 2023 | 18 | 2023 |
| Multi-functional PV inverter with low voltage ride-through and constant power output M Talha, SRS Raihan, N Abd Rahim, MN Akhtar, OM Butt, MM Hussain IEEE Access 10, 29567-29588, 2022 | 11 | 2022 |
| A multi-objective optimization of FCL and DOCR settings to mitigate distributed generations impacts on distribution networks M Usama, H Mokhlis, NN Mansor, M Moghavvemi, MN Akhtar, AA Bajwa, ... International Journal of Electrical Power & Energy Systems 147, 108827, 2023 | 9 | 2023 |
| Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques, IET Renewable Power Generation 13 (7)(2019) 1009–1023 MN Akhter, S Mekhilef, H Mokhlis, NM Shah | 6 | 2018 |
| Machine learning based voltage regulation technique using smart rotating magnetic inverter MM Hussain, M Siddique, W Javed, A Razaq, MN Akhter, FH Malik 2022 International Conference on Electrical, Computer and Energy …, 2022 | 3 | 2022 |
| Performance analysis of evacuated tube collector based solar heat for industrial process (SHIP) system in Malaysian climate MA Akbar, MM Rashid, AH Bin Embong, A Mohideen, MN Akhter J. Eng. Sci. Technol 17, 2299-2314, 2022 | 2 | 2022 |
| Solar Thermal Process Parameters Forecasting for Evacuated Tube Collectors (ETC) Based on RNN-LSTM AHE Muhammad Ali Akbar, Ahmad Jazlan, Muhammad Mahbubur Rashid, Hasan ... IIUM Engineering Journal 24 (1), 2022 | 1* | 2022 |
| A day-ahead power output forecasting of three pv systems using regression, machine learning and deep learning techniques MN Akhter, S Mekhilef, H Mokhlis, MA Muhammad AI and IOT in Renewable Energy, 1-14, 2021 | 1 | 2021 |
