Research

Ting Labs, in collaboration with Octagram Analytics and the Insurance Information Institute (Triple-I), conducted a large-scale study titled “The Efficacy and Return on Investment of Loss Prevention Programs – Background, Methods and Results“ to quantify the fire prevention efficacy and economic impact of the Ting smart sensor and fire prevention program. Ting is an electrical fire…

Ting Labs recently hosted a webinar focused on fundamental challenges and required solutions concerning Grid Resiliency. Key industry leaders and policy experts convened to highlight the need for improved electric grid resiliency and safety and the important role comprehensive grid monitoring can play in achieving these goals.  Proprietary data shows that grid resiliency and safety are…

Authors: Theo Laughner, Stan Heckman, Angel Manzur, Chris Sloop Abstract As the U.S. electric grid evolves to include more renewable energy sources and modernized grid components, it faces increased complexity and new challenges in maintaining power quality. Total Harmonic Distortion (THD), a measure of total voltage harmonics found within an electrical system, has become a…

This paper summarizes data from a smart home electrical monitoring service designed to prevent electrical fires. It analyzes the system’s electrical fire prevention efficiency and associated mitigation data, which encompasses electrical hazards in home wiring, devices, and appliances, as well as those introduced into the home from local electrical utility infrastructure issues. Root causes of…

This paper summarizes case data from a smart home electrical monitoring service designed to prevent electrical fires leveraging artificial intelligence (AI) techniques and a proprietary plug-in sensor. This is a follow-on to the inaugural analysis of case data for the system dated March 1, 2022, which analyzed nearly 1,000 documented cases involving 100,000 homes and…