A Review of Optimization Techniques Application for Building Performance Analysis

Optimization techniques (OT) are tools to find the best solution during a decision making process. Each of these has its own advantages and disadvantages depending on their objectives focus areas. Early application OT was recorded as early 1930s with introduction Monte Carlo Method, which is widely used in business studies. The idea conceived due poly-objectives, or multi-objectives, identifying solution. theories methods have evolved cover various fields study. This paper aims provide brief review through comparison pros cons each technique. findings emphasize suitability technique for different applications Finally, this study select most suitable building performance energy optimization. In conclusion, summary recommendations from Tables 2, 3, 4 need be combined process selecting OT. Regardless categories multiple applications, it characteristics optimization that determines adoption research objectives, strength researcher, availability data. ANN covering use, cost prediction offer high level accuracy. However, complex model requires historical data input can produce only short-term predictions. For broader load, hybrid kNN recommended. Doi: 10.28991/CEJ-2022-08-04-014 Full Text: PDF