Forecasting Swedish FCR-D Prices using Penalized Multivariate Time Series Techniques
The Swedish energy market is becoming more and more sustainable, with an increasing volume and number of diversified energy sources being continuously added to the mix. To stabilize the grid frequency, auctions are held to offer energy providers incentives to produce or consume energy on short notice. This paper is applying different multivariate time series models and their ensemble to find relia