Energy flexibility, through short-term demand-side management (DSM) and energy storage
technologies, is now seen as a major key to balancing the fluctuating supply in different …

A recent surge of interest in building energy consumption has generated a tremendous
amount of energy data, which boosts the data-driven algorithms for broad application …

Load forecasting problems have traditionally been addressed using various statistical
methods, among which autoregressive integrated moving average with exogenous inputs …

Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …

Accurate savings estimations are important to promote energy efficiency projects and
demonstrate their cost-effectiveness. The increasing presence of advanced metering …

Energy consumption models play an integral part in energy management and conservation,
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …

Data-driven building energy modelling techniques have proven to be effective in multiple
applications. However, the debate around the possibility of generalisation is open …

The smart grid concept continues to evolve and various methods have been developed to
enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is …

This paper presents a well-founded quantified estimation of the demand response flexibility
of residential smart appliances. The flexibility from five types of appliances available within …

Increasing the energy efficiency of the built environment has become a priority worldwide
and especially in Europe. Because of the relatively low turnover rate of the existing built …