collaborators

7 papers

cs.SE2026

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…

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.CE2025

The Value of Battery Energy Storage in the Continuous Intraday Market: Forecast vs. Perfect Foresight Strategies

Timothée Hornek, Youngsub Lee, Sergio Potenciano Menci +1

Grid-scale battery energy storage systems (BESSs) can provide flexibility to the power system and capture shortterm price volatility by shifting energy in time through controlled c…

physics.soc-ph2025

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.AI2025

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…