Voltage Congestion Monitoring Through Machine Learning.
Rémy Cleenwerck, Wouter Parys, Jan Desmet, Thierry Coosemans
CIRED 2023 Conference
Operation And Planning Scheme For Active Distribution Networks. A BD4OPEM Project Use Case: Spanish Pilot
Alejandro Hernandez-Matheus, Antonio Saldaña-Gonzalez, Rafaela Ribeiro, Mònica Aragues-Peñalba, Eduard Bullich-Massagué
CIRED 2023 Conference
Distribution Planning Tool Using Flexible Strategies: Case Study In Spanish Pilot.
Antonio Saldaña-Gonzalez, Mònica Aragues-Peñalba, Andreas Sumper, Ramón Gallart-Fernández, Lluís Cànaves-Navarro
CIRED 2023 Conference
Non-Technical Losses Identification In Distribution Grids: A Hybrid Approach.
CIRED 2023 Conference
Precise PMU-Based Localization and Classification of Short-Circuit Faults in Power Distribution Systems
IEEE Transactions on Power Delivery
2022
Journal
Behavior segmentation of electricity consumption patterns: A cluster analytical approach
Knowledge-Based Systems
Antonio Saldaña-Gonzalez, Mónica Aragués-Peñalba, Andreas Sumper, Ibrahim Can-Tasta, Ibrahim GAZIOĞLU
Rafaela Ribeiro, Massimiliano Garella, Eduard Büllich Massagué, Mónica Aragués-Peñalba
2021
BD4OPEM H2020 project. The 4+1 View Model of Software Architecture for enabling AI-based services in distribution grids
CIRED 2021 Conference
2021
Fault Detection In Photovoltaic Systems Using Machine Learning Algorithms: A Review
Ashvi Kumaradurai; Yuvaraja Teekaraman; Thierry Coosemans; Maarten Messagie
2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
BD4OPEM creates an open energy marketplace, that offers innovative AI-based services, to enable the efficient management of energy distribution grids and associated assets.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 872525.
