Recent advances in control, communication, and management systems, as well as the
widespread use of renewable energy sources in homes, have led to the evolution of …

Energy data measured on-site from buildings can help describe the consumption behavior
of end-users and can be used to examine and prove certain theorems and models, that …

Building management systems (BMSs) are being implemented broadly by industries in
recent decades. However, BMSs focus on specific domains, and when installed on the same …

Aim: The methodology proposed in this paper aims at analyzing the energy consumption,
electricity costs, computation time, and accuracy associated with each forecasting algorithm …

Smart grids (SGs) are essential for the efficient and distributed management of electrical
distribution networks. A key task in SG management is fault detection and subsequently …

There is a growing complexity, volatility, and unpredictability in the electric sector that
hardens the decision-making process. To this end, the use of proper decision support tools …

The power quality delivered by the distribution companies to consumers has always been a
relevant issue, especially to industrial consumers, where power quality is directly related to …

The decrease of the energy costs and the sustainability in buildings are important to ensure
the energy management of buildings. The use of algorithms for forecasting activities is …

Scheduling forecasting activities and improving the forecasting accuracy is important to
deliver energy efficiency to the customers. However, it is also important to reduce the …

Proceedings on Engineering Sciences SMART GRID ENERGY PRODUCTION AND
TRANSMISSION SYSTEM MODELING AND COMPUTATIONAL ASSESSMENT Page 1 1 …