In a smart (er) grid context, the existence of dynamic tariffs and bidirectional communications
will simultaneously allow and require an active role from the end-user concerning electricity …

Recent literature is increasingly highlighting the role of individual behaviours for tackling
societal challenges like Climate Change. Indeed, the largest source of global greenhouse …

Load forecasting is a vital factor in electrical power systems due to technical and economic
implications. Its forecasting is, however, a very challenging task due to many variable factors …

As the socio-economic need of mankind and population continue to grow, electricity
consumption estimates become necessary for energy system planning. In Ghana, residential …

In this paper, the optimal sizing and locating of capacitor banks in a 15-bus standard
distribution network with harmonic effects consideration has been studied. The goal was …

In recent years, the growing use of Intelligent Personal Agents in different human activities
and in various domains led the corresponding research to focus on the design and …

This paper investigates how to develop a learning-based demand response approach for
electric water heater in a smart home that can minimize the energy cost of the water heater …

The final goal of our research is to design a methodology to be implemented in a demand-
responsive energy management system for controlling domestic energy resources in a smart …

Load flexibility and Demand Response are becoming increasingly important to balance the
electricity supply and demand. Ventilation systems can be used as flexible loads in an …

In this paper, we propose the formation of agent cooperatives offering large-scale electricity
demand shifting services, and put forward a complete framework for their operation …