Forecasting Renewable Energy at European Markets
Informazioni aggiuntive
Autori
Rim H.,
Schenk O.,
Kardoš J.,
for Computing Machinery A.
Tipo
Contributo in atti di convegno
Anno
2025
Lingua
Inglese
Sommario
The ambitious energy targets, accelerated by the recent energy crisis, are driving the increase of renewable energy share in gross energy consumption. However, the intermittent and seasonal nature of renewable energy sources presents challenges in predicting their production capacity. The ability to accurately forecast the evolution of renewable energy’s stake in the dynamic and ever-evolving energy market is a critical component in the decision making process of policy makers, and market participants alike. This project aims to explore and evaluate the performance of well-established forecasting methods in anticipating the trends of individual renewable energy components, ultimately contributing to the fostering of a balanced, sustainable, and reliable energy market in the EU. The primary focus is to assess auto-regressive forecasting methods and advanced models incorporating moving-average, exploit seasonality of time series data, or those utilising the correlation with exogenous variables. The results are presented for data considering recent history of the most significant energy component at the European energy markets.
Parole chiave
Data analytics, Forecasting for energy systems, Energy Market, Renewable energy
Titolo atti di convegno
13th DACH+ Conference on Energy Informatics
Number ( Month )
February
Editore
ACM SIGEnergy Energy Informatics Review
Nome convegno
13th DACH+ Conference on Energy Informatics
Luogo convegno
Lugano, Switzerland
Data convegno
October 9-11, 2024
Pagine (o numero dell’articolo)
187-189
Diffusione
Licenza
Licenza non definita
Visibilità
Pubblico
