7   Artículos

 
en línea
Carla Sahori Seefoo Jarquin, Alessandro Gandelli, Francesco Grimaccia and Marco Mussetta    
Understanding how, why and when energy consumption changes provides a tool for decision makers throughout the power networks. Thus, energy forecasting provides a great service. This research proposes a probabilistic approach to capture the five inherent ... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta    
Electrical load forecasting study is required in electric power systems for different applications with respect to the specific time horizon, such as optimal operations, grid stability, Demand Side Management (DSM) and long-term strategic planning. In th... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Emanuele Ogliari, Alfredo Nespoli, Marco Mussetta, Silvia Pretto, Andrea Zimbardo, Nicholas Bonfanti and Manuele Aufiero    
The increasing penetration of non-programmable renewable energy sources (RES) is enforcing the need for accurate power production forecasts. In the category of hydroelectric plants, Run of the River (RoR) plants belong to the class of non-programmable RE... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Francesco Grimaccia, Sonia Leva, Marco Mussetta and Emanuele Ogliari    
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Emanuele Ogliari, Francesco Grimaccia, Sonia Leva and Marco Mussetta    
The accurate forecasting of energy production from renewable sources represents an important topic also looking at different national authorities that are starting to stimulate a greater responsibility towards plants using non-programmable renewables. In... ver más
Revista: Energies    Formato: Electrónico

 
en línea
Andrea Pirisi, Francesco Grimaccia, Marco Mussetta and Riccardo E. Zich    
Recently the technology development and increasing amounts of investment in renewables has led to a growing interest towards design and optimization of green energy systems. In this context, advanced Computational Intelligence (CI) techniques can be appl... ver más
Revista: Energies    Formato: Electrónico

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