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Forecasting Framework for Open Access Time Series in Energy
In this paper we propose a framework for automated forecasting of energy-related time series using open access data from European Network of Transmission System Operators for Electricity (ENTSO-E).
Portfolio optimization using local linear regression ensembles in RapidMiner
In this paper we implement a Local Linear Regression Ensemble Committee (LOLREC) to predict 1-day-ahead returns of 453 assets form the S&P500.
GEFCOM 2014 - Probabilistic Electricity Price Forecasting
Energy price forecasting is a relevant yet hard task in the field of multi-step time series forecasting.
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