All Outputs (2)

Smart meter data-driven voltage forecasting model for a real distribution network based on SCO-MLP. (2023)
Conference Proceeding
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)
Conference Proceeding
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..