Distributed Energy Resources Electric Profile Identification in Low Voltage Networks Using Supervised Machine Learning Techniques

Autor: Andres F. Moreno Jaramillo, Javier Lopez-Lorente, David M. Laverty, Paul V. Brogan, Santiago H. Hoyos Velasquez, Jesus Martinez-Del-Rincon, Aoife M. Foley

Publikováno v: IEEE Access, Vol 11, Pp 19469-19486 (2023)

Increasing integration of distributed energy resources (DER) in the electrical network has led distribution network operators to unprecedented challenges. This issue is compounded by the lack of monitoring infrastructure on the low voltage (LV) side

Externí odkaz: https://doaj.org/article/91a20af2830e4e09960c3581108c73a8

Simultaneous Estimation of Behind-the-Meter Solar and Wind Power at the Bulk Supply Point

Autor: Xueqin Liu, Kunyu Zuo, Junyong Liu, Javier Lopez-Lorente, Youbo Liu, Neil Johnston, David John Morrow

Publikováno v: IEEE Access, Vol 10, Pp 79703-79712 (2022)

The presence of distributed energy resources in private premises has observed a large deployment worldwide driven by favorable governmental policies and technology development. In Northern Ireland, the small-scale generation capacity including solar

Externí odkaz: https://doaj.org/article/4b626faf4d6642afb35691f464bbda26

Characterizing soiling losses for photovoltaic systems in dry climates: A case study in Cyprus

Autor: Javier Lopez-Lorente, Jesús Polo, Nuria Martín-Chivelet, Matthew Norton, Andreas Livera, George Makrides, George E. Georghiou

Publikováno v: Solar Energy. 255:243-256

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::406ff4d4772af4a89ed0d7e8155508d4
https://doi.org/10.1016/j.solener.2023.03.034

Impact assessment of nilm methods for an enhanced observability of low voltage distribution networks

Autor: Andres F Moreno Jaramillo, Javier Lopez-Lorente, Paul Brogan, David Laverty, Jesus Martinez del Rincon, Aoife Foley

Publikováno v: Moreno Jaramillo, A F, Lopez-Lorente, J, Brogan, P, Laverty, D, Martinez-del-Rincon, J & Foley, A 2022, Impact assessment of nilm methods for an enhanced observability of low voltage distribution networks . in Proceedings of the ISC2 2022 . IEEE International Smart Cities Conference (ISC2): Proceedings, Institute of Electrical and Electronics Engineers Inc., IEEE International Smart Cities Conference, Paphos, Cyprus, 26/09/2022 . https://doi.org/10.1109/ISC255366.2022.9922230

The migration to low-carbon technologies in secondary (low-voltage) distribution networks relies on high integration of distributed energy resources (DER), including distributed generation and low-carbon loads. The electrification of power and transp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52a7e03e9b29a6f261db092f170a8785
https://pure.qub.ac.uk/en/publications/54bbe059-0b15-45ec-b672-528049a8f666

Comparative Analysis of Machine Learning Models for Short-Term Net Load Forecasting in Renewable Integrated Microgrids

Autor: Georgios Tziolis, Javier Lopez-Lorente, Maria-Iro Baka, Anastasios Koumis, Andreas Livera, Spyros Theocharides, George Makrides, George E. Georghiou

Publikováno v: 2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f9eba123afb10db69a336d41fbe6730f
https://doi.org/10.1109/synergymed55767.2022.9941378