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Hamza Mubarak

Associate Lecturer

Griffith University

Research Interests

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Articles (16)

Collaborators (5)

Feifei Bai

Senior Lecturer

University of Queensland

Jeevan Kanesan

University of Malaya

Mazaher Karimi

Associate Professor (tenure track)

University of Vaasa

Mohammad Sanjari

Professor - Digital Transformation at Griffith University

Griffith University

Innocent Kamwa

Full Professor and Senior Canada Research Chair

Laval University

ApplyKite TwinLearns as you apply

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Hamza Mubarak

Research Interests

Make your next move.

Explore related searches

Articles (16)

Collaborators (5)

Feifei Bai

Jeevan Kanesan

Mazaher Karimi

Mohammad Sanjari

Innocent Kamwa

Make your next move.

Hamza Mubarak

Research Interests

Make your next move.

Explore related searches

Articles (16)

Adaptive control and explainable decision-making in residential energy management using a SHAP-guided multi-objective framework

SHapley Additive exPlanations-guided rule-based energy management: bridging machine learning interpretability and adaptive control strategies

A physics-informed TA-GMM-HMM framework for probabilistic weather regime clustering and photovoltaic power prediction

An Overview of Ultra-Short-Term Solar Photovoltaic Power Forecasting

Explainable AI for Active/Reactive Power Prediction: A Transformer- Based Approach with SHAP Analysis

Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization

Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model

Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework

A Real-Time IoT-Based Data Acquisition and Monitoring System for Photovoltaic Applications

Integrating Solar PV, Battery Storage, and Demand Response for Industrial Peak Shaving: A Systematic Review on Strategy, Challenges and Case Study in Malaysian Food Manufacturing

A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market

Electricity Price Forecasting One Day Ahead by Employing Hybrid Deep Learning Model

A hybrid machine learning method with explicit time encoding for improved Malaysian photovoltaic power prediction

Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study

Point of Common Coupling Voltage Modulated Direct Power Control of Grid-Tied Photovoltaic Inverter for AC Microgrid Application

Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning Models

Collaborators (5)

Feifei Bai

Jeevan Kanesan

Mazaher Karimi

Mohammad Sanjari

Innocent Kamwa

Make your next move.