Development of a Hybrid Model for Electrical Power Spot Prices

By Matt Davison, C. Anderson, B. Marcus, K. Andersen. IEEE Power Engineering Review, 2002

112 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/daf74b83fa77ecd3b7d15654fc30ee78edfbe1d9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Rafal Weron
2. Tuomas Pyykkönen
3. Nektaria V. Karakatsani
4. Nima Amjady
5. D. W. Bunn
6. Iivo Vehviläinen
7. Jakub Nowotarski
8. Florian Ziel

In Renewable Energy, Sustainability and the Environment

1. Rafal Weron

Citations in the corpus

• Forecasting Electricity Prices (2003, background): “In Davison et al. (2002), prices are assumed to follow a mixture of two normal distributions.”
• Day-ahead price forecasting of electricity markets by a new fuzzy neural network (2006, background): “These two facts enforce the extreme price volatility or even price spikes of the electricity market, for instance, the price spikes of the Pennsylvania-New Jersey-Maryland (PJM) market in 1999, shown in Fig. 1 [ 2 ].”
• Stochastic factor model for electricity spot price - the case of the Nordic market (2005, background): “Some recent examples are found in Lucia and Schwartz (2002), Davison et al. (2002), Vehviläinen and Keppo (2003), and Deng (2000). All but the very first statistical electricity price models have elaborated over the standard finance tool, the geometric-Brownian motion.”