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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], In Press, 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)
Conference Proceeding
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 multi-criteria decision-making model for workplace charging scheduling algorithms. (2022)
Journal Article
ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and DEVECI, M. 2022. A hybrid power heronian function-based multi-criteria decision-making model for workplace charging scheduling algorithms. IEEE transactions on transportation electrification [online], Early Access. 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 multi-criteria decision-making model for workplace charging scheduling algorithms..

Modeling and data analysis of electric vehicle fleet charging. (2022)
Conference Proceeding
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)
Conference Proceeding
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)
Conference Proceeding
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..

Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA. (2021)
Journal Article
DEVECI, M., ERDOGAN, N., CALI, U., STEKLI, J. and ZHONG, S. 2021. Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA. Engineering applications of artificial intelligence [online], 103, article 104311. Available from: https://doi.org/10.1016/j.engappai.2021.104311

The technical, logistical, and ecological challenges associated with offshore wind development necessitate an extensive site selection analysis. Technical parameters such as wind resource, logistical concerns such as distance to shore, and ecological... Read More about Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA..

Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland. (2020)
Journal Article
DEVECI, M, CALI, U., KUCUKSARI, S. and ERDOGAN, N. 2020. Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland. Energy [online], 198, article 117317. Available from: https://doi.org/10.1016/j.energy.2020.117317

Offshore wind energy takes up an important place in Ireland’s renewable generation portfolio thanks to its abundant offshore wind resource. Optimal offshore site selection and developing site-specific energy policy instruments are of key importance t... Read More about Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland..

Impact of electrical topology, capacity factor and line length on economic performance of offshore wind investments. (2019)
Journal Article
KUCUKSARI, S., ERDOGAN, N. and CALI, U. 2019. Impact of electrical topology, capacity factor and line length on economic performance of offshore wind investments. Energies [online], 12(6), article 3191. Available from: https://doi.org/10.3390/en12163191

In this study, an economic performance assessment of offshore wind investments is investigated through electrical topology, capacity factor and line length. First, annual energy yield production and electrical system losses for AC and DC offshore win... Read More about Impact of electrical topology, capacity factor and line length on economic performance of offshore wind investments..

Adaptive V2G peak shaving and smart charging control for grid integration of PEVs. (2018)
Journal Article
ERDEN, F., KISACIKOGLU, M.C. and ERDOGAN, N. 2018. Adaptive V"G peak shaving and smart charging control for grid integration of PEVs. Electric power components and systems [online], 46(13), pages 1494-1508. Available from: https://doi.org/10.1080/15325008.2018.1489435

The stochastic nature of plug-in electric vehicle (PEV) driving behavior and distribution grid load profile make it challenging to control vehicle-grid integration in a mutually beneficial way. This article proposes a new adaptive control strategy th... Read More about Adaptive V2G peak shaving and smart charging control for grid integration of PEVs..

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system. (2018)
Journal Article
ERDOGAN, N., ERDEN, F. and KISACIKOGLU, M.A. 2018. A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system. Journal of modern power systems and clean energy [online], 6(3), pages 555-566. Available from: https://doi.org/10.1007/s40565-017-0375-z

This study focuses on the potential role of plug-in electric vehicles (PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid (V2G) power and currently available information trans... Read More about A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system..