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 …

A cloud computing-based power optimization system (CC-POS) is an important enabler for
hybrid renewable-based power systems with higher output, optimal solutions to extend …

Power systems are going through a transition period. Consumers want more active
participation in electric system management, namely assuming the role of producers …

This paper describes the development of community energy management systems (CEMS).
A CEMS allows optimal energy sharing within energy communities, as it is a central system …

Controlling the cost of electricity consumption remains a major concern, particularly in the
residential sector. Smart home electricity management systems (HEMS) are becoming …

This paper presents a model predictive control (MPC)-based reinforcement learning (RL)
approach for a home energy management system (HEMS). The house consists of an air-to …

This work proposes a procedure for the multi-objective design of a robust forecasting
ensemble of data-driven models. Starting with a data-selection algorithm, a multi-objective …

The use of physics-based models for the development and optimization of energy systems is
popular due to their versatility. However, their inherent complexity often makes these …

This paper introduces the HEMStoEC database, which contains data recorded in the course
of two research projects, NILMforIHEM, and HEMS2IEA, for more than three years. To be …

Accurate prediction of building energy need plays a fundamental role in building design,
despite the high computational cost to search for optimal energy saving solutions. An …