Development of an HVAC system control method using weather forecasting data with deep reinforcement learning algorithms

This publication has 32 references indexed in Scilit:

• Short-term prediction of electric demand in building sector via hybrid support vector regression
  Applied Energy, 2017
• Analyzing the Impact of Outside Temperature on Energy Consumption and Production Patterns in High-Performance Research Buildings in Arizona
  Journal of Architectural Engineering, 2017
• Optimizing HVAC Energy Usage in Industrial Processes by Scheduling Based on Weather Data
  IEEE Access, 2017
• Ten questions concerning model predictive control for energy efficient buildings
  Building and Environment, 2016
• Deep learning
  Nature, 2015
• A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting
  Building Simulation, 2013
• Building modeling as a crucial part for building predictive control
  Energy and Buildings, 2013
• A Simulation Appraisal of Energy Performance in Office Building by Different Types of Air-Conditioning
  Korean Journal of Air-Conditioning and Refrigeration Engineering, 2012
• Methodology to estimate building energy consumption using EnergyPlus Benchmark Models
  Energy and Buildings, 2010
• Efficient nonlinear model predictive control algorithms
  Annual Reviews in Control, 2004