Guillermo Escrivá-Escrivà

New artificial neural network prediction method for electrical consumption forecasting based on building end-uses

Guillermo Escrivá-Escrivà, Carlos Álvarez-Bel, Carlos Roldán-Blay et al. · Energy and Buildings · 2011 · 135 citations · Full text

Computing, Architectural Engineering, Electrical Engineering +14

Application of an energy management and control system to assess the potential of different control strategies in HVAC systems

Guillermo Escrivá-Escrivà, Isidoro Segura-Heras, Manuel Alcázar-Ortega · Energy and Buildings · 2010 · 126 citations · Full text

Architecture, Architectural Engineering, Building Science +17

Review of Energy Efficiency Technologies in the Food Industry: Trends, Barriers, and Opportunities

Jean‐Michel Clairand, Marco Briceño-León, Guillermo Escrivá-Escrivà et al. · IEEE Access · 2020 · 121 citations · Full text

Management, Agricultural Engineering, Food Science +17

Upgrade of an artificial neural network prediction method for electrical consumption forecasting using an hourly temperature curve model

Carlos Roldán-Blay, Guillermo Escrivá-Escrivà, Carlos Álvarez-Bel et al. · Energy and Buildings · 2013 · 73 citations · Full text

Computing, Computer Science, Electrical Engineering +16

Evaluation and assessment of demand response potential applied to the meat industry

Manuel Alcázar-Ortega, Carlos Álvarez-Bel, Guillermo Escrivá-Escrivà et al. · Applied Energy · 2011 · 68 citations · Full text

Agriculture, Food Science, Demand Forecasting +13