Predicting Hvac-Based Demand Flexibility in Grid-Interactive Efficient Buildings Utilizing Deep Neural Networks

Author(s)

• Italo Aldo Campodonico Avendano
• Amin Moazami
• Farzad Dadras Javan
• Behzad Najafi

Affiliation

• SINTEF Community / Architectural Engineering
• Politecnico di Milano University
• Norwegian University of Science and Technology

DOI