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 …

Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …

Building energy prediction plays a vital role in developing a model predictive controller for
consumers and optimizing energy distribution plan for utilities. Common approaches for …

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

The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

Digitalization has unfolded great opportunities for its ability to promote carbon neutrality.
Nevertheless, it is still in a nascent stage enduring uncertainties due to the lack of clear …

This paper presents a robust short-term electrical load forecasting framework that can
capture variations in building operation, regardless of building type and location. Nine …

Innovative solutions targeting improvements in the behavior of energy consumers will be
required to achieve desired efficiency in the use of energy. Among other measures for …

Abstract Model Predictive Control (MPC) is a model-based technique widely and
successfully used over the past years to improve control systems performance. A key factor …

The power sector is increasingly relying on variable renewable energy sources (VRE)
whose share in energy production is expected to further increase. A key challenge for …