Comparing the online learning capabilities of Gaussian ARTMAP and Fuzzy ARTMAP for building energy management systems

• We created a UCLan Westlakes Samuel Lindow Building heat simulation model.
• We created a Fuzzy ARTMAP building energy management system with online learning.
• We created a Gaussian ARTMAP building energy management system with online learning.
• We compared which of the two creates a more efficient building energy management system.
• Gaussian ARTMAP is better for use in building energy management system with online learning.

Recently, there has been a growing interest in the application of Fuzzy ARTMAP for use in building energy management systems or EMS. However, a number of papers have indicated that there are important weaknesses to the Fuzzy ARTMAP approach, such as sensitivity to noisy data and category proliferation. Gaussian ARTMAP was developed to help overcome these weaknesses, raising the question of whether Gaussian ARTMAP could be a more effective approach for building energy management systems? This paper aims to answer this question. In particular, our results show that Gaussian ARTMAP not only has the capability to address the weaknesses of Fuzzy ARTMAP but, by doing this, provides better and more efficient EMS controls with online learning capabilities.