PATENT CLAIM ANALYSIS

Application Number: 15942306
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["700", "276000"]

Abstract:
Systems and methods for sequencing HVAC equipment of an HVAC system using data recorded in situ to build a model capable of making predictions about equipment efficiency and using that information, in combination with predictions about building load, to produce an operational sequence for the HVAC equipment that promotes an improved or optimized overall energy efficiency for the HVAC system. In one embodiment, the process is automated and utilizes Bayesian computational models or algorithms to generate an initial sequence. The process reduces engineering hours and may advantageously provide a means to predict potential sequencing problems for similar types of HVAC equipment.

Claim (Index 6):
The method of  claim 1 , wherein the analytical computational model is a Bayesian based model using a k-nearest neighbors analysis.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 90.0
- Lexical Diversity: 1.57353
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14582732', '15331755', '14690671', '14693722', '14630430']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4249346523899324
- 35 USC 102 Novelty (BERT): 0.5705044240775927
- Combined Prediction Score: 0.4394916295586984
- Mean Citation Score: 253.79958
- Max Citation Score: 458.04868
- Similarity Product: 449.47249300896414

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test