Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …

Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

To obtain benefits in the provision of public services, managers of public organizations have
considerably increased the adoption of artificial intelligence (AI) systems. However, research …

Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …

For efficient and effective energy management, accurate energy consumption forecasting is
required in energy management systems (EMSs). Recently, several artificial intelligence …

Predicting energy consumption in buildings plays an important part in the process of digital
transformation of the built environment, and for understanding the potential for energy …

The proper sequencing and optimal loading of chillers is one of the major avenues for
energy efficiency improvement in existing heating, ventilating and air conditioning …

Real-time state estimation and forecasting are critical for the efficient operation of power
grids. In this paper, a physics-informed Gaussian process regression (PhI-GPR) method is …

The forecasting of the thermal power demand is essential to support the development of
advanced strategies for the management of local resources on the consumer side, such as …

Introduction Tourism is a relatively young phenomenon which involves the development of a
singular and important economic sector. From the very beginning, that economic dimension …