Nuh Erdogan

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Senior Lecturer

University of Nottingham

United Kingdom

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About

Nuh Erdogan is a Senior Lecturer at Nottingham Trent University in the UK. His research focuses on data-driven health prediction, machine learning frameworks in distribution networks, and swarm intelligence methodologies. He has contributed significantly to the fields of energy systems and electric vehicle integration, as evidenced by his recent publications on forecasting and decision support systems.

Recent Grants

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E-Fleet

Open Date: 2020-01-01

Close Date: 2021-06-01

Articles (17)

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Collaborators (6)

Mehdi Zeinali

Assistant Professor (Lecturer)

Nottingham Trent University - Clifton Campus

UNITED KINGDOM

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I. SAFAK BAYRAM

University Of Strathclyde

UNITED KINGDOM

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Muhammet Deveci

Imperial College London

UNITED KINGDOM

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William John Doran

The Queen's University Belfast

UNITED KINGDOM

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Dursun Delen

Regents Professor

UNITED STATES

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Umit Cali

Norwegian University of Science and Technology

NORWAY

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Nuh Erdogan

Research Interests

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About

Recent Grants

Articles (17)

Large language model-based methodology for data-driven health prediction of Lithium-ion batteries

Near real-time machine learning framework in distribution networks with low-carbon technologies using smart meter data

Swarm intelligence-based Multi-Layer Kernel Meta Extreme Learning Machine for tidal current to power prediction

An integrated methodology for significant wave height forecasting based on multi‐strategy random weighted grey wolf optimizer with swarm intelligence

A new rough ordinal priority-based decision support system for purchasing electric vehicles

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

A new rough ordinal priority-based decision support system for purchasing electric vehicles

Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting

Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting

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

A Hybrid Power Heronian Function-Based Multicriteria Decision-Making Model for Workplace Charging Scheduling Algorithms

Impact of Communication System Characteristics on Electric Vehicle Grid Integration: A Large-Scale Practical Assessment of the UK’s Cellular Network for the Internet of Energy

Multiple decomposition‐aided long short‐term memory network for enhanced short‐term wind power forecasting

Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine

Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine

EV Fleet Charging Load Forecasting Based on Multiple Decomposition With CEEMDAN and Swarm Decomposition

EV Fleet Charging Load Forecasting Based on Multiple Decomposition With CEEMDAN and Swarm Decomposition

Collaborators (6)

Mehdi Zeinali

I. SAFAK BAYRAM

Muhammet Deveci

William John Doran

Dursun Delen

Umit Cali

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