Recent advances in electricity price forecasting: A review of probabilistic forecasting
Since the inception of competitive power markets two decades ago, electricity price
forecasting (EPF) has gradually become a fundamental process for energy companies' …
forecasting (EPF) has gradually become a fundamental process for energy companies' …
[HTML][HTML] Electricity price forecasting: A review of the state-of-the-art with a look into the future
R Weron - International journal of forecasting, 2014 - Elsevier
A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …
last 15 years, with varying degrees of success. This review article aims to explain the …
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
We conduct an extensive empirical study on short-term electricity price forecasting (EPF) to
address the long-standing question if the optimal model structure for EPF is univariate or …
address the long-standing question if the optimal model structure for EPF is univariate or …
Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models
R Weron, A Misiorek - International journal of forecasting, 2008 - Elsevier
This empirical paper compares the accuracy of 12 time series methods for short-term (day-
ahead) spot price forecasting in auction-type electricity markets. The methods considered …
ahead) spot price forecasting in auction-type electricity markets. The methods considered …
[KİTAP][B] High-dimensional covariance estimation: with high-dimensional data
M Pourahmadi - 2013 - books.google.com
Methods for estimating sparse and large covariance matrices Covariance and correlation
matrices play fundamental roles in every aspect of the analysis of multivariate data collected …
matrices play fundamental roles in every aspect of the analysis of multivariate data collected …
On the market impact of wind energy forecasts
This paper presents an analysis of how day-ahead electricity spot prices are affected by day-
ahead wind power forecasts. Demonstration of this relationship is given as a test case for the …
ahead wind power forecasts. Demonstration of this relationship is given as a test case for the …
The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices
This paper contributes to the general consideration of whether a policy of incentivising
system operators to improve the quality and market availability of forecasts for renewable …
system operators to improve the quality and market availability of forecasts for renewable …
Bayesian forecasting in economics and finance: A modern review
The Bayesian statistical paradigm provides a principled and coherent approach to
probabilistic forecasting. Uncertainty about all unknowns that characterize any forecasting …
probabilistic forecasting. Uncertainty about all unknowns that characterize any forecasting …
Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows
Electricity is traded on various markets with different time horizons and regulations. Short-
term intraday trading becomes increasingly important due to the higher penetration of …
term intraday trading becomes increasingly important due to the higher penetration of …
Forecasting Nord Pool day-ahead prices with an autoregressive model
T Kristiansen - Energy Policy, 2012 - Elsevier
This paper presents a model to forecast Nord Pool hourly day-ahead prices. The model is
based on Weron and Misiorek (2008) but reduced in terms of estimation parameters (from …
based on Weron and Misiorek (2008) but reduced in terms of estimation parameters (from …