PATENT CLAIM ANALYSIS

Application Number: 16128667
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["700", "291000"]

Abstract:
An apparatus includes a processor to: assign each value of each set of values of an initial supply meter data and of an initial load meter data to one of multiple buckets based on weather conditions and/or time and date; for each bucket, generate upper and lower bounds of power provision and power consumption values, and use the upper and lower bounds to identify outlier values assigned to the bucket; for each set of values within the initial supply meter data and within the initial load meter data, generate a naive model from the non-outlier values, and use interpolation and the naive model to fill in gaps, thereby generating cleansed supply meter data and cleansed load meter data; and store the cleansed supply meter data and cleansed load meter data together as merged meter data for use in making predictions.

Claim (Index 4):
The apparatus of  claim 3 , wherein the processor is caused to perform operations comprising:\n retrieve proxy load meter readings, wherein the proxy load meter readings comprise indications of electrical characteristics of at least one endpoint asset at an endpoint location that was not connected to the power grid for a portion of the predetermined historical time period; and for each endpoint asset that was not connected to the power grid for a portion of the predetermined historical time period, the processor is caused to:\n use corresponding electrical characteristics indicated in the proxy load meter readings to generate simulated load meter readings for the endpoint asset for the portion of the predetermined historical time period; and \n augment the raw load meter readings with the simulated load meter readings prior to conversion to power consumption values.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 97.0
- Lexical Diversity: 2.30769
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15360335', '15473240', '13774994', '14518412', '15189173']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3556516768298407
- 35 USC 102 Novelty (BERT): 0.4930808940246064
- Combined Prediction Score: 0.3693945985493173
- Mean Citation Score: 180.59717800000004
- Max Citation Score: 192.72542
- Similarity Product: 123.88996017678024

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