activity
20192022
most citedOptimal day-ahead offering strategy for large producers based on market price response learning

10 citations · 13 across the 3 of their papers we have counts for

collaborators

5 papers

stat.AP2022★ 10 cited

Optimal day-ahead offering strategy for large producers based on market price response learning

António Alcántara, Carlos Ruiz

In day-ahead electricity markets based on uniform marginal pricing, small variations in the offering and bidding curves may substantially modify the resulting market outcomes. In t…

math.OC2021★ 3 cited

Joint optimization of sales-mix and generation plan for a large electricity producer

Paolo Falbo, Carlos Ruiz

The paper develops a typical management problem of a large power producer (i.e., he can partly influence the market price). In particular, he routinely needs to decide how much of…

math.OC2021

Optimal pricing for electricity retailers based on data-driven consumers' price-response

Román Pérez-Santalla, Miguel Carrión, Carlos Ruiz

In the present work we tackle the problem of finding the optimal price tariff to be set by a risk-averse electric retailer participating in the pool and whose customers are price-s…

stat.AP2019

Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances

Andrés M. Alonso, F. Javier Nogales, Carlos Ruiz

In order to improve the efficiency and sustainability of electricity systems, most countries worldwide are deploying advanced metering infrastructures, and in particular household…

stat.ML2019

A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads

Andrés M. Alonso, F. Javier Nogales, Carlos Ruiz

Most electricity systems worldwide are deploying advanced metering infrastructures to collect relevant operational data. In particular, smart meters allow tracking electricity load…