A functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. This model serves to analyse a real data set describing electricity consumption in Sardinia. The interest lies in predicting either oncoming weekends’ or oncoming weekdays’ consumption, provided actual weekdays’ consumption is known.A B-spline estimator of the functional parameter is used. Selected computational issues are addressed as well
Smart energy meters generate real time, high frequency data which can foster demand management and r...
Smart energy meters generate real time, high frequency data which can foster demand management and r...
We consider the problem of short-term peak demand forecasting in a district heating system. Our data...
A functional linear regression model linking observations of a functional response variable with mea...
Functional linear regression model linking observations of a functional response variable with measu...
Energy is one of the indispensible elements of human life and electrical energy is adopted as the mo...
The influence of economic and demographic variables on the annual electricity consumption in Italy h...
In this paper a semi-parametric approach is developed to model non-linear relationships in time seri...
This empirical paper presents a number of functional modelling and forecasting methods for predictin...
This thesis deals with electricity consumption forecasting. A lot of methods depending on the length...
Short term load forecasting plays an important role for the energy industry as accurate predictions ...
International audienceIn the last past years the liberalization of the electricity supply, the incre...
Forecasting of real-time electricity load has been an important research topic over many years. Elec...
In the past several years, the liberalization of the electricity supply, the increase in variability...
The influence of economic and demographic variables on the annual electricity consumption in Italy h...
Smart energy meters generate real time, high frequency data which can foster demand management and r...
Smart energy meters generate real time, high frequency data which can foster demand management and r...
We consider the problem of short-term peak demand forecasting in a district heating system. Our data...
A functional linear regression model linking observations of a functional response variable with mea...
Functional linear regression model linking observations of a functional response variable with measu...
Energy is one of the indispensible elements of human life and electrical energy is adopted as the mo...
The influence of economic and demographic variables on the annual electricity consumption in Italy h...
In this paper a semi-parametric approach is developed to model non-linear relationships in time seri...
This empirical paper presents a number of functional modelling and forecasting methods for predictin...
This thesis deals with electricity consumption forecasting. A lot of methods depending on the length...
Short term load forecasting plays an important role for the energy industry as accurate predictions ...
International audienceIn the last past years the liberalization of the electricity supply, the incre...
Forecasting of real-time electricity load has been an important research topic over many years. Elec...
In the past several years, the liberalization of the electricity supply, the increase in variability...
The influence of economic and demographic variables on the annual electricity consumption in Italy h...
Smart energy meters generate real time, high frequency data which can foster demand management and r...
Smart energy meters generate real time, high frequency data which can foster demand management and r...
We consider the problem of short-term peak demand forecasting in a district heating system. Our data...