PATENT CLAIM ANALYSIS

Application Number: 16237074
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-08
Patent Classification: ["703", "018000"]

Abstract:
Disclosed is a method and instrumentation for predictive and adaptive controllers devised to ensure uninterrupted operation of standalone electrical supply systems powered by sustainable energy sources. The device, herein referred to as SelfMaster, is an expert system that manages the energy conversion, storage, and consumption in an isolated electric grid based on data collected during past and current operation of the system and predicted future states of the primary energy sources, storage level, and demand. The sustainable primary energy sources managed by SelfMaster may include, but are not limited to, wind force, solar radiation, and biofuels. The energy storage system is a combination of batteries, hydrogen, biofuel, and hot water tanks. Electric demand consists of critical, non-critical, and deferrable loads identified according to the activities supported by the supply system.

Claim (Index 14):
The method of claim  22 , wherein the loads are also provisioned with electromagnetic pulse protection so that the combination of the micro-grids and the loads can continue to operate in island-mode without power from the outside grid despite external electromagnetic interference.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 98.0
- Lexical Diversity: 1.70455
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13889867', '13784495', '14791420', '12687827', '13479101']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2218193341994418
- 35 USC 102 Novelty (BERT): 0.5306907300588898
- Combined Prediction Score: 0.2527064737853866
- Mean Citation Score: 178.681252
- Max Citation Score: 305.75568
- Similarity Product: 197.6974699607849

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

Dataset: test