8 citations · 9 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Agent-based Model of Initial Token Allocations: Evaluating Wealth Concentration in Fair Launches
Joaquin Delgado Fernandez, Tom Barbereau, Orestis Papageorgiou
With advancements in distributed ledger technologies and smart contracts, tokenized voting rights gained prominence within Decentralized Finance (DeFi). Voting rights tokens (aka.…
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting
Joaquin Delgado Fernandez, Sergio Potenciano Menci, Charles Lee +1
With high levels of intermittent power generation and dynamic demand patterns, accurate forecasts for residential loads have become essential. Smart meters can play an important ro…