PATENT CLAIM ANALYSIS

Application Number: 15983294
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["340", "870020"]

Abstract:
Analysis of smart meter and/or similar data based on frequency content is disclosed. In various embodiments, for each of a plurality of resource consumption nodes a time series data including for each of a series of observation times a corresponding resource consumption data associated with that observation time is received. At least a portion of the time series data, for each of at least a subset of the plurality of resource consumption nodes, is transformed into a frequency domain. A feature set based at least in part on the resource consumption data as transformed into the frequency domain is used to detect that resource consumption data associated with a particular resource consumption node is anomalous.

Claim (Index 12):
The method of  claim 11 , wherein detecting that resource consumption data associated with a particular resource consumption node is anomalous includes determining that the particular resource consumption node falls outside a prescribed threshold distance from a cluster centroid of a corresponding one of said one or more clusters of resource consumption nodes.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 2.17857
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14136368', '14308599', '14026695', '14276846', '14308590']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6936998181558773
- 35 USC 102 Novelty (BERT): 0.5129783407004376
- Combined Prediction Score: 0.6756276704103333
- Mean Citation Score: 175.39242800000005
- Max Citation Score: 295.81317
- Similarity Product: 273.406823053574

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

Dataset: test