Restoration of 1–24 hour dry-bulb temperature gaps for use in building performance monitoring and analysis—Part I

摘要: Building energy system retrofit and retro-commissioning projects present tremendous opportunities to save energy. Energy consumption in buildings, especially HVAC systems, is significantly impacted by weather conditions. However, short- or long-term climatic data are frequently missing because of transmission problems, quality assurance methods, sensor malfunction, a host other reasons. These gaps continue provide challenges for engineers monitoring verifying building performance. This article examines eight classical approaches that use Linear interpolation, Lagrange Cubic Spline interpolation techniques, eleven two newly developed i.e., Angle-based Corr-based restore up 24 h dry-bulb temperature time series performance analysis. Eleven one-year hourly sets used evaluate the thes...