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 23):
The method of  claim 1 , wherein the type of anomaly is determined based at least in part on one or more characteristics or dimensions of the resource consumption data as transformed into the frequency domain and a cluster analysis relating to consumption data from the plurality 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): 0.6935885396634546
- 35 USC 102 Novelty (BERT): 0.5138042175470027
- Combined Prediction Score: 0.6756101074518094
- Mean Citation Score: 175.39242800000005
- Max Citation Score: 295.81317
- Similarity Product: 269.27143392197013

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