The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …

This paper considers nonparametric estimation of a parameter, which is a zero of a certain
estimating equation, indexed by a class of functions and depending on an infinite …

In this work, we introduce a local linear nonparametric estimation of the regression function
of a censored scalar response random variable, given a functional random covariate. Under …

The transition to a fully renewable energy grid requires better forecasting of demand at the
low-voltage level to increase efficiency and ensure reliable control. However, high …

This paper provides two procedures to obtain prediction intervals for electricity demand and
price based on functional data. The proposed procedures are related to one day ahead …

In this paper, we investigate the asymptotic properties of a non-parametric conditional mode
estimation given a functional explanatory variable, when functional stationary ergodic data …

In this paper, we study the quantile regression (QR) estimation for the partially functional
linear model with the responses being right-censored and the censoring indicators being …

This paper focuses on semi-functional partially linear regression model, where a scalar
response variable with missing at random is explained by a sum of an unknown linear …

In this article, we investigate various asymptotic properties (bias, variance, mean squared
error, mean integrated squared error, asymptotic normality, uniform strong consistency) for …

In this paper we define and study a new estimator of the regression function when the
response random variable is subject to random right-censoring. The estimator is constructed …