5   Artículos

 
en línea
Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, Utpal Mozumder and Ahmed Abdelgawad    
Short-term load forecasting (STLF) plays a crucial role in the planning, management, and stability of a country?s power system operation. In this study, we have developed a novel approach that can simultaneously predict the load demand of different regio... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Iago Richard Rodrigues, Djamel Sadok, Theo Lynn and Patricia Takako Endo    
To minimise environmental impact, to avoid regulatory penalties, and to improve competitiveness, energy-intensive manufacturing firms require accurate forecasts of their energy consumption so that precautionary and mitigation measures can be taken. Deep ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Cruz E. Borges, Yoseba K. Penya, Iván Fernández, Juan Prieto and Oscar Bretos    
Short-term load forecasting (STLF) in buildings differs from its broader counterpart in that the load to be predicted does not seem to be stationary, seasonal and regular but, on the contrary, it may be subject to sudden changes and variations on its con... ver más
Revista: Energies    Formato: Electrónico

 
en línea
Nima Amjady and Farshid Keynia    
Short-term load forecast (STLF) is an important operational function in both regulated power systems and deregulated open electricity markets. However, STLF is not easy to handle due to the nonlinear and random-like behaviors of system loads, weather con... ver más
Revista: Energies    Formato: Electrónico

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