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Umit Cali

Professor of Digital Engineering

Norwegian University of Science and Technology

Norway

Research Interests

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Professors in Norway Professors in Energy Engineering Energy Engineering professors in Norway

About

Dr. Umit Cali is an Associate Professor at the Norwegian University of Science and Technology in Norway. His research areas include renewable energy systems, virtual power plants, and machine learning applications in energy forecasting. Dr. Cali is also focused on advancements in distributed ledger technology and the integration of electric vehicles within smart power systems. His recent publications explore innovative approaches to enhance energy efficiency and system stability.

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Collaborators (14)

Gora Datta

University of California

UNITED STATES

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Florentin Smarandache

Full Professor

University of New Mexico

UNITED STATES

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Hasan Tinmaz

Assist. Prof. Dr

Woosong University

SOUTH KOREA

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Nuh Erdogan

Senior Lecturer

University of Nottingham

UNITED KINGDOM

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Angela Meyer

Prof.

Delft University of Technology

NETHERLANDS

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Muhammet Deveci

Researcher/Dr

Imperial College London

UNITED KINGDOM

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Ömer Aydin

Member

University of Waterloo

CANADA

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Ibrahim Beklan Kucukdemiral

Reader

Glasgow Caledonian University

UNITED KINGDOM

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Marco Pasetti

Associate Professor

University of Brescia

ITALY

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Ferhat Ozgur Catak

Professor

University of Stavanger

NORWAY

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Hamed Badihi

Assistant Professor in Dependable Systems

University of Tampere

FINLAND

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Maciej A. Noras

University of North Carolina at Charlotte

UNITED STATES

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Masood Parvania

Professor

University of Utah

UNITED STATES

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Murat Kuzlu

Associate Professor

Old Dominion University

UNITED STATES

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Umit Cali

Research Interests

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About

Articles (43)

A review of community-centric power system resilience: Strategies, data-driven methods, and techno-legal perspectives

Forecasting lung cancer burden using multicenter real-world data

Quantum key distribution secured federated learning for AI-driven physical layer tasks in next generation networks

An interpretable and uncertainty-aware hybrid framework for short-term load forecasting in modern energy systems

Assessment of renewable energy growth, regional imbalances, and sustainability challenges in India’s power sector

Electric mobility in India: charging infrastructure, energy storage, grid integration, and policy perspectives

A multi-layered framework for stability analysis in power grids with incomplete harmonic data

Comparative analysis of AI-based regression models for solar power forecasting: Techniques, preprocessing, and evaluation

Cyber-resilient control based on soft reinforcement learning for inverter-based PV/FC systems: Real-time implementation and validation

Towards reliable solar power forecasting in Sub-Saharan Africa: An explainable hybrid AI approach for Chad

Optimizing cost and reliability in off-grid microgrids: A hybrid paradigm utilizing k-medoids for scenario reduction

Energy-aware hierarchical fractional-order terminal sliding mode control with hybrid learning observer for enhanced gait comfort in active prosthetics

Feasibility Analysis of PV-Wind-Based EMS for Grid-Tied Battery Storage System Under Variable Atmospheric Scenario

Virtual Power Plants in Modern Power Systems: A Comprehensive Review of Uncertainty Management and Market Bidding Strategies

Prioritization of health distributed ledger technology use cases using fuzzy sine trigonometric based decision-making model

Shaping the Future of Metaverse Research: Innovation, Collaboration, and Journal of Metaverse’s Academic Impact

A risk-aware bidding model for virtual power plants: Integrating renewable energy forecasting and carbon market strategies

Balancing cost-efficiency and sustainability in offshore hybrid renewable energy systems: A case study of Palau River

Assessment of machine and deep learning models integrated with variational mode decomposition for photovoltaic power forecasting using real-world data from the semi-arid region of Djelfa, Algeria

A comparative analysis of the efficient coordination of renewable energy and electric vehicles in a deregulated smart power system

Enhancing grid stability through virtual inertia control in automatic generation control of a multi area system

Impact analysis of battery control strategies on battery aging for grid-connected and solar-powered residential battery applications

A Customized Local Energy Trading Approach Using a Comprehensive Set of Performance Indices

A Data-Driven Approach to Aircraft Engine MRO Using Enhanced ANNs Based on FMECA

Enhanced control of brushless doubly-fed reluctance generators for wind energy: A novel speed sensor-less variable speed constant frequency approach

Multitarget Normal Behavior Model Based on Heterogeneous Stacked Regressions and Change-Point Detection for Wind Turbine Condition Monitoring

Offshore wind farm site selection in Norway: Using a fuzzy trigonometric weighted assessment model

Quantification of the Impact of Azimuth and Tilt Angle on the Performance of a PV Output Power Forecasting Model for BIPVs

A Hyperparameter-Tuned LSTM Technique-Based Battery Remaining Useful Life Estimation Considering Incremental Capacity Curves

A Novel Electric Vehicle Charging Management With Dynamic Active Power Curtailment Framework for PV-Rich Prosumers

A Novel Improved Grey Wolf Algorithm Based Global Maximum Power Point Tracker Method Considering Partial Shading

Battery Passport for Second-Life Batteries: Potential Applications and Challenges

Strategic Integration of Second-Life Batteries: Incentive Mechanisms for Boosting Community Energy Self-Consumption

Assessment of the Distributed Ledger Technology for Energy Sector Industrial and Operational Applications Using the MITRE ATT&CK® ICS Matrix

An XAI approach for COVID-19 detection using transfer learning with X-ray images

A rough Dombi Bonferroni based approach for public charging station type selection

A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks

Prioritizing Energy Blockchain Use Cases Using Type-2 Neutrosophic Number-Based EDAS

An expansion planning method for extending distributed energy system lifespan with energy storage systems

A Review of Machine Learning-Based Photovoltaic Output Power Forecasting: Nordic Context

Co-Simulation of Optimal EVSE and Techno-Economic System Design Models for Electrified Fleets

Standardization of the Distributed Ledger Technology cybersecurity stack for power and energy applications

Collaborators (14)

Gora Datta

Florentin Smarandache

Hasan Tinmaz

Nuh Erdogan

Angela Meyer

Muhammet Deveci

Ömer Aydin

Ibrahim Beklan Kucukdemiral

Marco Pasetti

Ferhat Ozgur Catak

Hamed Badihi

Maciej A. Noras

Masood Parvania

Murat Kuzlu

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