activity
20172022
most citedForecasting day-ahead electricity prices in Europe: the importance of considering market integration

223 citations · 369 across the 4 of their papers we have counts for

collaborators

5 papers

q-fin.ST202274 cited

Electricity Price Forecasting: The Dawn of Machine Learning

Arkadiusz Jędrzejewski, Jesus Lago, Grzegorz Marcjasz +1

Electricity price forecasting (EPF) is a branch of forecasting on the interface of electrical engineering, statistics, computer science, and finance, which focuses on predicting pr…

eess.SY2020

Scenario-based Nonlinear Model Predictive Control for Building Heating Systems

Tomas Pippia, Jesus Lago, Roel De Coninck +1

State-of-the-art Model Predictive Control (MPC) applications for building heating adopt either a deterministic controller together with a nonlinear model or a linearized model with…

stat.AP20204 cited

Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs

Grzegorz Marcjasz, Jesus Lago, Rafał Weron

Recent advancements in the fields of artificial intelligence and machine learning methods resulted in a significant increase of their popularity in the literature, including electr…

stat.ML201968 cited

Short-term forecasting of solar irradiance without local telemetry: a generalized model using satellite data

Jesus Lago, Karel De Brabandere, Fjo De Ridder +1

Due to the increasing integration of solar power into the electrical grid, forecasting short-term solar irradiance has become key for many applications, e.g.~operational planning,…

q-fin.ST2017223 cited

Forecasting day-ahead electricity prices in Europe: the importance of considering market integration

Jesus Lago, Fjo De Ridder, Peter Vrancx +1

Motivated by the increasing integration among electricity markets, in this paper we propose two different methods to incorporate market integration in electricity price forecasting…