223 citations · 431 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
Jesus Lago, Grzegorz Marcjasz, Bart De Schutter +1
While the field of electricity price forecasting has benefited from plenty of contributions in the last two decades, it arguably lacks a rigorous approach to evaluating new predict…
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,…
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…