In this era of Internet of Thing (IoT) and Big Data, observations are collected not as daily,
weekly, monthly, quarterly or yearly, but are taken at a finer time scale. These observations …

The technological advancement in all countries leads to massive energy demand. The
energy trading companies struggle daily to meet their customers' power demands. For a …

A assinatura do Acordo de Paris e a elaboração do Roteiro Para Neutralidade Carbónica
em 2050 impõem objetivos para a introdução de fontes de energia renovável no contexto …

Solar forecasting is a crucial and cost-effective tool for better utilization of solar energy for
smart environment design. Artificial intelligence (AI) technologies, such as machine learning …

Increasing photovoltaic (PV) panel instalments jeopardise the electrical grid frequency,
especially in island countries, such as Cyprus. For a continuous growth in the PV …

For the purpose of optimizing complex renewable energy system and effectively
management of building energy systems, such as solar PV, model predictive control (MPC) …

Résumé Dans cette mémoire, des modèles hybrides sont proposés en utilisant l'algorithme
de régression du processus gaussien (GPR) avec décomposition en CEEMDAN. Pour …

In this study, we present a new application of Gaussian Process Regression method for
streamflow forecasting on daily scale. The GPR model is assessed using eight catchments …