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Mohamad Fani Sulaima

Universiti Teknikal Malaysia Melaka

Research Interests

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Articles (20)

Collaborators (5)

Dawid Piotr Hanak

Professor of Decarbonisation of Industrial Clusters

Teesside University

UNITED KINGDOM

Nurliyana Baharin

Universiti Teknikal Malaysia Melaka

Hazlie Mokhlis

University of Malaya

HAMIDREZA NAMAZI

MONASH UNIVERSITY

Aida Fazliana Abdul Kadir

Associate Prof

Universiti Teknikal Malaysia Melaka

ApplyKite TwinLearns as you apply

Make your next move.

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Review drafts before you send them.

Mohamad Fani Sulaima

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (5)

Dawid Piotr Hanak

Nurliyana Baharin

Hazlie Mokhlis

HAMIDREZA NAMAZI

Aida Fazliana Abdul Kadir

Make your next move.

Mohamad Fani Sulaima

Research Interests

Make your next move.

Explore related searches

Articles (20)

Enabling Reliable Industrial Energy Savings Verification Through Hybrid Factored Conditional Restricted Boltzmann Machine and Generative Adversarial Network

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

Assessing the Impact of Economic Variables on the Energy Demand in Malaysia: A Regression Approach

Toward Cost and Carbon Efficient Tariff Selection for Industrial Consumers: A Malaysian Case Study Using Synthetic Load Modeling

Ethical and governance challenges of large language models in power and energy systems: a review and framework for responsible AI deployment

Ethical, societal, and sustainability dimensions of resource-efficient artificial intelligence in energy systems: a systems-level review

Trustworthy large language models (LLMs) for power-system operations: From “Grid Copilots” to verifiable decision support

FRACTAL-INFORMED RISK MODELING IN ENERGY SYSTEMS: FROM EXTREME EVENTS TO RESILIENCE-ORIENTED CONTROL

Machine Learning‐Enabled Occupancy Modelling for Energy‐Efficient and Sustainable Building Operations: A Critical Review of Strategies and Future Directions

FRACTAL-AWARE FEDERATED AI FOR PERSONALIZED DEMAND-SIDE MANAGEMENT: A REVIEW OF HOUSEHOLD HETEROGENEITY, PRIVACY, AND FLEXIBILITY LEARNING

FRACTAL-BASED DIGITAL TWINS FOR ENERGY SYSTEMS: A MULTI-SCALE MODELING PARADIGM FOR REAL-TIME OPTIMIZATION

TOWARD A UNIFIED FRACTAL-AI FRAMEWORK FOR SUSTAINABLE ENERGY SYSTEMS: A REVIEW AND FUTURE RESEARCH AGENDA

FRACTAL-BASED MODELING OF ENERGY SYSTEM CASCADING FAILURES: A REVIEW AND CONCEPTUAL FRAMEWORK FROM LOCAL DISTURBANCES TO SYSTEMIC COLLAPSE

SCALING-BASED EARLY WARNING SIGNALS FOR ENERGY SYSTEM FAILURES: A FRACTAL PERSPECTIVE

PHYSICS-INFORMED FRACTAL–AI FRAMEWORK FOR RESILIENCE PREDICTION IN RENEWABLE ENERGY SYSTEMS

Weather-Driven Energy Consumption Modeling of the Laman Hikmah Library Utilizing Machine Learning

FRACTAL ANALYSIS OF WIND TURBINE SIGNALS: A COMPREHENSIVE REVIEW

MULTIFRACTAL ANALYSIS OF WIND SPEED AND WIND POWER VARIABILITY: SCALING LAWS, UNIVERSALITY, AND COMPLEXITY PERSPECTIVES

Enhancing energy savings verification in industrial settings using deep learning and anomaly detection within the IPMVP framework

Evaluation of the time-of-use tariff responsiveness for plug-in electric vehicle home charging in Malaysia

Collaborators (5)

Dawid Piotr Hanak

Nurliyana Baharin

Hazlie Mokhlis

HAMIDREZA NAMAZI

Aida Fazliana Abdul Kadir

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