We have a new paper:
Hongyuan Jia, Adrian Chong (2020). eplusr: A framework for integrating building energy simulation and data-driven analytics. Energy and Buildings. :10.13140/RG.2.2.34326.16966⁄1
Building energy simulation (BES) has been widely adopted for the investigation of building environmental and energy performance for different design and retrofit alternatives. Data-driven analytics is vital for interpreting and analyzing BES results to reveal trends and provide useful insights.
Advanced machine learning based control for the HVAC systems
An R package for creating future weather files under climate changes for building energy simulation
Impacts of climate change on building energy systems
Life cycle cost optimization
A framework for identifying and quantifying the impact of occupancy-related schedules on ECMs' performance using building energy simulation
A framework for seamless integration between Building Energy Simulation (BES) and data-driven analytics.