Energy price forecasting - problems and proposals for such predictions

By Nima Amjady, M. Hemmati. 2006

177 citations recorded by the source corpus.

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A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method (2007, background): “Another characteristic is the seasonal behavior of the electricity price at different level (daily, weekly and annual sea-sonality) and the third one is related to the question of its trans-portability [8].”
An Adaptive Wavelet Neural Network-Based Energy Price Forecasting in Electricity Markets (2008, methodology): “acteristics [1], such as high frequency, nonstationary behavior,”
Electricity price forecasting: A review of the state-of-the-art with a look into the future (2014, background): “In another IEEE Power & Energy Magazine discussion article, Amjady and Hemmati (2006) explain the need for short-term price forecasts, review problems related to EPF, and put forward proposals for such predictions.”
Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging (2016, methodology): “…techniques (like neural networks, fuzzy techniques and support vector machines) constitute the two main streams of models, both in the academic literature and the business practice itself (see e.g. Amjady and Hemmati, 2006; Chan et al., 2012; Hong, 2014; Weron, 2006, 2014; Zareipour, 2008).”
Electricity price forecasting in deregulated markets: A review and evaluation (2009, background): “Importance of the price-forecasting problem, key issues and some techniques developed so far have been reported in [6].”