Muhammad Naveed Akhter

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

Saad Mekhilef, Hazlie Mokhlis, Noraisyah Mohamed Shah, 2019, IET Renewable Power Generation.

A Day-Ahead Power Output Forecasting of Three PV Systems Using Regression, Machine Learning and Deep Learning Techniques

Saad Mekhilef, Hazlie Mokhlis, Munir Azam Muhammad, 2021 .

Performance assessment of three grid-connected photovoltaic systems with combined capacity of 6.575 kWp in Malaysia

Muhammad Naveed Akhter, S. Mekhilef, H. Mokhlis, 2020 .

Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study

Muhammad Naveed Akhter, Mohsin Ali Khan, Hamad Hassan Awan, 2023, Case Studies in Construction Materials.

A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems

Muhammad Naveed Akhter, S. Mekhilef, H. Mokhlis, 2021, Applied Energy.

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Muhammad Naveed Akhter, H. Javed, M. Huba, 2022, Sensors.

An Hour-Ahead PV Power Forecasting Method Based on an RNN-LSTM Model for Three Different PV Plants

Muhammad Naveed Akhter, S. Mekhilef, H. Mokhlis, 2022, Energies.

Review on the Application of Photovoltaic Forecasting Using Machine Learning for Very Short- to Long-Term Forecasting

Muhammad Naveed Akhter, S. Mekhilef, Noraisyah Mohamed Shah, 2023, Sustainability.