most citedBridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

q-fin.ST2025

Directional Price Forecasting in the Continuous Intraday Market under Consideration of Neighboring Products and Limit Order Books

Timothée Hornek, Sergio Potenciano Menci, Ivan Pavić

The increasing penetration of variable renewable energy and flexible demand technologies, such as electric vehicles and heat pumps, introduces significant uncertainty in power syst…

cs.SE2025

Enhancing Smart Grid Information Exchanges: A Three-Phase Method for Evaluating Information and Data Models during their Development Process

Christine van Stiphoudt, Sergio Potenciano Menci, Gilbert Fridgen

The ongoing process of smart grid digitalisation is increasing the volume of automated information exchange across distributed energy systems. This has driven the development of ne…

physics.soc-ph20251 cited

Where do local markets fit in the current European Electricity Market structures?

Sergio Potenciano Menci, Laura Andolfi, Rawan Akkouch

European electricity markets have been complex since their inception. Policies and technologies advancing renewable integration, consumer empowerment, flexibility, and electrificat…

cs.AI20251 cited

Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation

Amir Sartipi, Joaquín Delgado Fernández, Sergio Potenciano Menci +1

The integrity of time series data in smart grids is often compromised by missing values due to sensor failures, transmission errors, or disruptions. Gaps in smart meter data can bi…

cs.LG2025

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?

Quoc Viet Nguyen, Joaquin Delgado Fernandez, Sergio Potenciano Menci

Short term Load Forecasting (STLF) plays an important role in traditional and modern power systems. Most STLF models predominantly exploit temporal dependencies from historical dat…

cs.CR2025

Forecasting Anonymized Electricity Load Profiles

Joaquin Delgado Fernandez, Sergio Potenciano Menci, Alessio Magitteri

In the evolving landscape of data privacy, the anonymization of electric load profiles has become a critical issue, especially with the enforcement of the General Data Protection R…