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 26):
The computer-implemented method of  claim 25 , comprising:\n retrieving, by the processor, calendar data comprising at least one of:\n indications of correlations between dates within the historical time period to days of a week or months of a year; or \n indications of holidays within the historical time period that are applicable to at least a portion of the geographic area covered by the grid; \n defining each bucket of the multiple buckets to correspond to a different combination of a range of values of a weather condition and a range of dates; assigning each power consumption value of the initial load meter data to one of the multiple buckets based at least on the date of the corresponding measure of power consumption and the correlated weather data value; and assigning each power provision value of the initial supply meter data to one of the multiple buckets based at least on the date of the corresponding measure of power provision and the correlated weather data value.

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): 0.3562964403433447
- 35 USC 102 Novelty (BERT): 0.4903133419074943
- Combined Prediction Score: 0.3696981304997597
- Mean Citation Score: 180.59717800000004
- Max Citation Score: 192.72542
- Similarity Product: 127.72247815083506

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