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Anzar Mahmood
Also published under:A. Mahmood
Affiliation
Department of Electrical Engineering, Mirpur University of Science and Technology, Mirpur, Azad Jammu and Kashmir, Pakistan
Topic
Long Short-term Memory,Root Mean Square Error,Convolutional Neural Network,Gated Recurrent Unit,Long Short-term Memory Model,Mean Square Error,Recurrent Neural Network,Short-term Memory,Economic Dispatch,Fossil Fuels,Long Short-term Memory Network,Mean Absolute Error,Neural Network,Power System,Short-term Forecasting,Artificial Neural Network,Bidirectional Long Short-term Memory,Decision Tree,Energy Consumption,Energy Management,Extreme Gradient Boosting,Extreme Learning Machine,Feed-forward Network,Forecast Accuracy,Gradient Boosting,Gradient Boosting Decision Tree,Hyperparameter Tuning,Mean Absolute Percentage Error,Model Performance,Normalized Root Mean,Normalized Root Mean Square,Random Forest,Renewable Energy Resources,Support Vector Machine,Wind Direction,AdaBoost,Adaptive Neuro-fuzzy Inference System,Air Conditioning,Autoregressive Integrated Moving Average,CatBoost,Cities Of Pakistan,Cloudy Days,Comprehensive Dataset,Consumer Demand,Cuckoo Search,Decision Table,Deep Learning Techniques,Demand Variability,Different Types Of Models,Distributed Energy Resources,
Biography
Anzar Mahmood (Senior Member, IEEE) received the B.Sc. degree in electrical engineering from The University of Azad Jammu and Kashmir, in 2005, the M.Eng. degree in nuclear power from NED University, Karachi, in 2007, and the Ph.D. degree in electrical engineering from COMSATS University Islamabad, in 2016. He was an Assistant Professor with COMSATS University Islamabad and a Senior Design Engineer with Pakistan Atomic Energy Commission. He is currently an Associate Professor with the Department of Electrical Engineering, Mirpur University of Science and Technology (MUST), Mirpur, Pakistan. He has published numerous research articles and international conference proceedings. His research interests include smart grids, optimization and machine learning, energy management and load forecasting, renewables, and prosumer communities.