PATENT CLAIM ANALYSIS

Application Number: 16055210
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["700", "291000"]

Abstract:
A method for characterizing buildings, including retrieving a plurality of baseline energy use data sets for the buildings from a baseline data stores; generating energy use data sets for each of the buildings, each of the energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each of the sets are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a machine learning model analysis on the each of the plurality of energy use data sets to yield corresponding machine learning model parameters and a corresponding residual; determining a least valued residual from all residuals, the least valued residual indicating a corresponding energy lag for the each of the buildings; and categorizing the buildings into types according to similar energy lags.

Claim (Index 5):
The apparatus as recited in  claim 1 , wherein said similar energy lags comprise energy lags having the same value.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 96.0
- Lexical Diversity: 2.58209
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14984612', '14984706', '16055215', '16055206', '14674021']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5534053452836054
- 35 USC 102 Novelty (BERT): 0.6265266566823892
- Combined Prediction Score: 0.5607174764234838
- Mean Citation Score: 562.005188
- Max Citation Score: 580.96326
- Similarity Product: 557.9870250575852

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

Dataset: test