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 …

An important issue in fitting stochastic models to electricity spot prices is the estimation of a
component to deal with trends and seasonality in the data. Unfortunately, estimation routines …

Our paper aims to model and forecast the electricity price by taking a completely new
perspective on the data. It will be the first approach which is able to combine the insights of …

An adaptation of HMM for signal segmentation is proposed. It is developed for Health Index
(HI) data, which behave in different ways depending on machine condition. HI can be …

Hoy, el crecimiento poblacional y el cambio climático afectan la óptima habitabilidad de las
edificaciones. Por tanto, un mal diseño ocasiona que la habitabilidad no responda a los …

We present the results of an extensive study on estimation and forecasting of the long-term
seasonal component (LTSC) of electricity spot prices. We consider a battery of over 300 …

This paper presents a methodology for estimating the optimal amount of automatic
frequency restoration reserve provided by an aggregation of renewable power plants. The …

Abstract© The Institution of Engineering and Technology 2019. The modulus switching
technique has been used in some cryptographic applications as well as in cryptanalysis. For …

Abstract Renewable Energy Power Purchase Agreements (RE PPAs) are considered to be a
key tool in order to foster RE deployment, as they allow for the reduction of uncertainty for all …

We examine the impact of the Clean Energy Bill on the price behavior of electricity futures
contracts in the Australian National Electricity Market. First, we compute ex-ante forward risk …