Multivariate Constrained Robust M-Regression for Shaping Forward Curves in Electricity Markets

06/26/2018
by   Peter Leoni, et al.
0

In this paper, a multivariate constrained robust M-regression (MCRM) method is developed to estimate shaping coefficients for electricity forward prices. An important benefit of the new method is that model arbitrage can be ruled out at an elementary level, as all shaping coefficients are treated simultaneously. Moreover, the new method is robust to outliers, such that the provided results are stable and not sensitive to isolated sparks or dips in the market. An efficient algorithm is presented to estimate all shaping coefficients at a low computational cost. To illustrate its good performance, the method is applied to German electricity prices.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/21/2018

Econometric modelling and forecasting of intraday electricity prices

In the following paper we analyse the ID_3-Price on German Intraday Cont...
research
11/27/2017

Using nonlinear stochastic and deterministic (chaotic tools) to test the EMH of two Electricity Markets the case of Italy and Greece

Utilization of non-linear tools to characterize the state of development...
research
05/23/2022

Probabilistic forecasting of German electricity imbalance prices

The exponential growth of renewable energy capacity has brought much unc...
research
06/10/2020

An Artificial Intelligence Solution for Electricity Procurement in Forward Markets

Retailers and major consumers of electricity generally purchase a critic...
research
01/04/2022

A Multivariate Dependence Analysis for Electricity Prices, Demand and Renewable Energy Sources

This paper examines the dependence between electricity prices, demand, a...
research
04/02/2022

Calibration window selection based on change-point detection for forecasting electricity prices

We employ a recently proposed change-point detection algorithm, the Narr...
research
12/02/2013

Grid Topology Identification using Electricity Prices

The potential of recovering the topology of a grid using solely publicly...

Please sign up or login with your details

Forgot password? Click here to reset