All Outputs (26)

An integrated methodology for significant wave height forecasting based on multi-strategy random weighted grey wolf optimizer with swarm intelligence. (2024)
Journal Article
DOKUR, E., ERDOGAN, N., SALARI, M.E., YUZGEC, U. and MURPHY, J. 2024. An integrated methodology for significant wave height forecasting based on multi-strategy random weighted grey wolf optimizer with swarm intelligence. IET renewable power generation [online], 18(3): computational methods and artificial intelligence applications in low-carbon energy systems, pages 248-390. Available from: https://doi.org/10.1049/rpg2.12961

While wave energy is regarded as one of the prominent renewable energy resources to diversify global low-carbon generation capacity, operational reliability is the main impediment to the wide deployment of the related technology. Current experience i... Read More about An integrated methodology for significant wave height forecasting based on multi-strategy random weighted grey wolf optimizer with swarm intelligence..

Multiple decomposition-aided long short-term memory network for enhanced short-term wind power forecasting. (2023)
Journal Article
BALCI, M., DOKUR, E., YUZGEC, U. and ERDOGAN, N. 2024. Multiple decomposition-aided long short-term memory network for enhanced short-term wind power forecasting. IET renewable power generation [online], 18(3), pages 331-347. Available from: https://doi.org/10.1049/rpg2.12919

With the increasing penetration of grid-scale wind energy systems, accurate wind power forecasting is critical to optimizing their integration into the power system, ensuring operational reliability, and enabling efficient system asset utilization. A... Read More about Multiple decomposition-aided long short-term memory network for enhanced short-term wind power forecasting..

Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. (2023)
Presentation / Conference Contribution
STEWART, C., FOUGH, N., ERDOGAN, N. and PRABHU, R. 2023. Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, Valletta, Malta. Piscataway: IEEE [online], pages 110-115. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317266

As the Internet of Things (IoT) continues to find new applications, there is academic and industrial interest in expanding these concepts to the oceanic environment where data is traditionally challenging to communicate wirelessly, establishing an Un... Read More about Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things..

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. (2023)
Journal Article
ZEINALI, M., ERDOGAN, N., BAYRAM, I.S. and THOMPSON, J.S. 2023. 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. Electricity [online], 4(4), pages 309-319. Available from: https://doi.org/10.3390/electricity4040018

The ever-increasing number of plug-in electric vehicles (PEVs) requires appropriate electric vehicle grid integration (EVGI) for charging coordination to maintain grid stability and enhance PEV user convenience. As such, the widespread adoption of el... Read More about 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..

Smart meter data-driven voltage forecasting model for a real distribution network based on SCO-MLP. (2023)
Presentation / Conference Contribution
DOKUR, E., SENGOR, I., ERDOGAN, N., YUZGEC, U. and HAYES, B.P. 2023. Smart meter data-driven voltage forecasting model for a real distribution network based on SCO-MLP. In Proceedings of the 2023 IEEE PES (Institute of Electrical and Electronics Engineers Power and Energy Society) Innovative smart grid technologies conference Europe (2023 IEEE PES ISGT Europe): powering solutions for decarbonized and resilient future smartgrids, 23-26 October 2023, Grenoble, France. Piscataway: IEEE [online], 10408345. Available from: https://doi.org/10.1109/ISGTEUROPE56780.2023.10408345

Advanced metering infrastructure like smart meter technology has enabled the collection of high-resolution data on voltage, active, and reactive power consumption from end-users in real-time. This paper introduces a new machine learning model, named... Read More about Smart meter data-driven voltage forecasting model for a real distribution network based on SCO-MLP..

Optical-fibre based sensors for monitoring offshore floating photovoltaic farms. (2023)
Presentation / Conference Contribution
STEWART, C., JOSEPH, C.S.J., JOHNY, J., ERDOGAN, N., FOUGH, N. and PRABHU, R. 2023. Optical fibre-based sensors for monitoring offshore floating photovoltaic farms. In Proceedings of 2023 IEEE Oceanic Engineering Society conference and exposition (OCEANS 2023): blue ocean planet earth, 5-8 June 2023, Limerick, Ireland. Piscataway: IEEE [online], document number 10244737. Available from: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244737

Solar photovoltaic farms are seeing increasing expansion into new domains (offshore) in order to harvest the sunlight as society pushes towards reaching Net Zero by 2050. However, photovoltaics are bound by physics, parameters such as temperature and... Read More about Optical-fibre based sensors for monitoring offshore floating photovoltaic farms..

A new rough ordinal priority-based decision support system for purchasing electric vehicles. (2023)
Journal Article
KUCUKSARI, S., PAMUCAR, D., DEVECI, M., ERDOGAN, N. and DELEN, D. 2023. A new rough ordinal priority-based decision support system for purchasing electric vehicles. Information sciences [online], 647, article number 119443. Available from: https://doi.org/10.1016/j.ins.2023.119443

This study proposes a novel multi-criteria decision-making (MCDM) model based on a rough extension of the Ordinal Priority Approach (OPA) to determine the order of importance of users' perspectives on Electric Vehicle (EV) purchases. Unlike conventio... Read More about 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. (2023)
Journal Article
DEVECI, M., ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and CALI, U. 2023. A rough Dombi Bonferroni based approach for public charging station type selection. Applied energy [online], 345, article 121258. Available from: https://doi.org/10.1016/j.apenergy.2023.121258

As the transition to electric mobility accelerates, charging infrastructure is rapidly expanding. Publicly accessible chargers, also known as electric vehicle supply equipment (EVSE), are critical not only for further promoting the transition but als... Read More about A rough Dombi Bonferroni based approach for public charging station type selection..

Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. (2023)
Journal Article
PARMAKSIZ, H., YUZGEC, U., DOKUR, E. and ERDOGAN, N. 2023. Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. Knowledge-based systems [online], 268, article 110472. Available from: https://doi.org/10.1016/j.knosys.2023.110472

The Dragonfly algorithm (DA) is a heuristic optimization algorithm that is commonly used for complex optimization problems. Despite its widespread application, the abundance of social behaviors in its construct can lead to poor accuracy in solutions... Read More about Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting..

Cost analysis of DCFC fast charging station power rates for workplace charging. (2022)
Presentation / Conference Contribution
KUCUKSARI, S. and ERDOGAN, N. 2022. Cost analysis of DCFC fast charging station power rates for workplace charging. In Proceedings of 13th IEEE (Institute of Electrical and Electronics Engineers) PES (Power and Energy Society) Innovative smart grid technologies conference 2022 (ISGT 2022): moving to a 3-D energy landscape: decarbonized, democratized, decentralized, 24-28 April 2022, New Orleans, USA. Piscataway: IEEE [online], article 9817537. Available from: https://doi.org/10.1109/ISGT50606.2022.9817537

DC fast charging (DCFC) station becomes prominent thanks to offering faster charging service. However, they increase the peak demand, hence, the demand charge for industrial and commercial customers increases. This study analyses cost behaviors of va... Read More about Cost analysis of DCFC fast charging station power rates for workplace charging..

A hybrid power heronian function-based multicriteria decision-making model for workplace charging scheduling algorithms. (2022)
Journal Article
ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and DEVECI, M. 2023. A hybrid power heronian function-based multicriteria decision-making model for workplace charging scheduling algorithms. IEEE transactions on transportation electrification [online], 9(1), pages 1564-1578. Available from: https://doi.org/10.1109/TTE.2022.3186659

This study proposes a new multi-criteria decision-making model to determine the best smart charging scheduling that meets electric vehicle (EV) user considerations at work-places. An optimal charging station model is incorporated into the decision-ma... Read More about A hybrid power heronian function-based multicriteria decision-making model for workplace charging scheduling algorithms..

Modeling and data analysis of electric vehicle fleet charging. (2022)
Presentation / Conference Contribution
KUCUKSARI, S. and ERDOGAN, N. 2022. Modeling and data analysis of electric vehicle fleet charging. In Proceedings of 2022 IEEE (Institute of Electrical and Electronics Engineers)/AIAA (American Institute of Aeronautics and Astronautics) Transportation electrification conference and Electric aircraft technologies symposium (ITEC+EATS), 15-17 June 2022, Anaheim, USA. Piscataway: IEEE [online], pages 1139-1143. Available from: https://doi.org/10.1109/itec53557.2022.9814047

In the transition to electric fleets around the world, electricity demand from electric vehicle (EV) fleets is expected to become significant in the future. Since fleet cars can display different charging characteristics than individual EVs, analyzin... Read More about Modeling and data analysis of electric vehicle fleet charging..

EV fleet charging load forecasting based on multiple decomposition with CEEMDAN and swarm decomposition. (2022)
Journal Article
DOKUR, E., ERDOGAN, N. and KUCUKSARI, S. 2022. EV fleet charging load forecasting based on multiple decomposition with CEEMDAN and swarm decomposition. IEEE access [online], 10, pages 62330-62340. Available from: https://doi.org/10.1109/ACCESS.2022.3182499

As the transition to electric mobility is accelerating, EV fleet charging loads are expected to become increasingly significant for power systems. Hence, EV fleet load forecasting is vital to maintaining the reliability and safe operation of the powe... Read More about EV fleet charging load forecasting based on multiple decomposition with CEEMDAN and swarm decomposition..

A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies. (2022)
Journal Article
ERDOGAN, N., KUCUKSARI, S. and MURPHY, J. 2022. A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies. Energy [online], 254(Part A), article number 124161. Available from: https://doi.org/10.1016/j.energy.2022.124161

This study proposes a multi-objective optimization model to determine the optimal charging infrastructure for a transition to plug-in electric vehicles (PEVs) at workplaces. The developed model considers all cost aspects of a workplace charging stati... Read More about A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies..

Offshore wind speed short-term forecasting based on a hybrid method: swarm decomposition and meta-extreme learning machine. (2022)
Journal Article
DOKUR, E., ERDOGAN, N., SALARI, M.E., KARAKUZU, C. and MURPHY, J. 2022. Offshore wind speed short-term forecasting based on a hybrid method: Swarm decomposition and meta-extreme learning machine. Energy [online], 248, article 123595. Available from: https://doi.org/10.1016/j.energy.2022.123595

As the share of global offshore wind energy in the electricity generation portfolio is rapidly increasing, the grid integration of large-scale offshore wind farms is becoming of interest. Due to the intermittency of wind, the stability of power syste... Read More about Offshore wind speed short-term forecasting based on a hybrid method: swarm decomposition and meta-extreme learning machine..

Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets. (2022)
Journal Article
ERDOGAN, N., KUCUKSARI, S. and CALI, U. 2022. Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets. IEEE access [online], 10, pages 18988-18997. Available from: https://doi.org/10.1109/ACCESS.2022.3150359

As the transition to electric mobility is expanding at a rapid pace, operationally feasible and economically viable charging infrastructure is needed to support electrified fleets. This paper presents a co-simulation of optimal electric vehicle suppl... Read More about Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets..

Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine. (2021)
Journal Article
HAND, B.P., ERDOGAN, N., MURRAY, D., CRONIN, P., DORAN, J. and MURPHY, J. 2022. Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine. Sustainable energy technologies and assessments [online], 50, article 101874. Available from: https://doi.org/10.1016/j.seta.2021.101874

Tidal energy has received considerable attention over the past decade due to its predictability and high power density. The research in the tidal turbine area has concentrated primarily on the improvement of the energy conversion efficiency. In contr... Read More about Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine..

An integrated multi-objective optimization and multi-criteria decision-making model for optimal planning of workplace charging stations. (2021)
Journal Article
ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and DEVECI, M. 2021. An integrated multi-objective optimization and multi-criteria decision-making model for optimal planning of workplace charging stations. Applied energy [online], 304, article 117866. Available from: https://doi.org/10.1016/j.apenergy.2021.117866

This study addresses the optimal planning of electric vehicle charging infrastructure at workplaces. As the optimal planning for a given workplace can involve various criteria that comprise conflicting single objectives, this study proposes a new int... Read More about An integrated multi-objective optimization and multi-criteria decision-making model for optimal planning of workplace charging stations..

EV specific time-of-use rates analysis for workplace charging. (2021)
Presentation / Conference Contribution
KUCUKSARI, S. and ERDOGAN, N. 2021. EV specific time-of-use rates analysis for workplace charging. In Proceedings of 2021 IEEE (Institute of Electrical and Electronics Engineers) Transportation electrification conference (ITEC 2021), 21-25 June 2021, [virtual conference]. Piscataway: IEEE [online], pages 783-788. Available from: https://doi.org/10.1109/itec51675.2021.9490039

EV specific time-of-use rate plans have been recently introduced by several utilities to overcome the demand charge issue that is the main barrier impeding EV growth in the commercial and industrial sector. This study analyses two EV specific TOU rat... Read More about EV specific time-of-use rates analysis for workplace charging..

Designing laboratory experiments for electricity grid integration of renewable energy using microgrid, test-rig emulators and real time simulation tools. (2021)
Presentation / Conference Contribution
MURRAY, D.B., ERDOGAN, N., ZEHIR, A. and HAYES, B.P. 2021. Designing laboratory experiments for electricity grid integration of renewable energy using microgrid, test-rig emulators and real time simulation tools. In Proceedings of the 10th Engineering education for sustainable development conference 2021 (EESD2021): building flourishing communities, 14-16 June 2021, Cork Ireland. Cork: University College Cork, pages 380-387. Hosted on CORA [online]. Available from: https://cora.ucc.ie/handle/10468/11674

This paper describes efforts to integrate advanced approaches in microgrid, test-rig emulators and real time simulation into early postgraduate and undergraduate engineering education. It describes two experiments designed for groups of early stage r... Read More about Designing laboratory experiments for electricity grid integration of renewable energy using microgrid, test-rig emulators and real time simulation tools..