Technology Specifications


Power outages occur for various reasons, including natural disasters or overloading of the power grid. Photovoltaic (PV) with or without storage systems can harness solar energy, minimize the effects of certain types of power outages, and improve resiliency. However, solar energy is unreliable and can be affected by cloud cover and other weather-related factors.

Battery SoC Forecast

The remaining charge or capacity identification is the critical component in the real-time monitoring of battery performance. Existing identification mechanisms face hindrances for Li-ion batteries internally due to solid electrolyte interface deposition on the electrode surface and externally due to analog-to-digital module restrictions. The C-Rate is thus a parameter that, when tuned, indirectly emulates a load connected to a battery.

State-of-Charge (SOC) refers to the amount of capacity that the battery can utilize. This capacity value downgrades with age or load applications during charging and discharging cycles; this downgrade in the battery’s capacity can happen under four scenarios: i) rest or standby condition; ii) external influence; iii) fault; or iv) constrained cycling condition.


While customer demand at a power grid distribution network remains relatively predictable during a day, quick morning ramp-ups and late afternoon ramp-downs in grid-connected Renewable Energy Source (RES) power plants without secondary power sources to help demand in a real-time manner pose a severe threat to the stability of the grid and the availability of power to customers. Existing technologies that deal with problems of such magnitude are based on unreliable weather prediction and ineffective modeling, making the overall grid performance unreliable and inefficient.

Smart Microgrid

Microgrid technology can uniquely address customer needs for resiliency in the wake of extreme weather events such as wildfires and hurricanes. As a smaller version of the main energy grid, microgrids can operate in grid- connected and “island” mode. In other words, when severe weather affects the energy grid, a microgrid can operate autonomously using its local energy sources to power the buildings or facilities that the microgrid supports.


The patent consists of a system that tackles the shortcomings of the forecasting approaches described below and improves upon them: Different variants of the ARIMA models have been applied to the problem of forecasting. The mean absolute percentage error is generally used to assess model performances.

In one approach documented in Vagropoulos et al., the authors concluded that ANN, SARIMAX, and modified SARIMA are the best models to meet the forecasting needs for winter, spring, and autumn. In contrast, SARIMA performed better for the summer horizon. The probabilistic forecasting of solar power has been done using multiple linear regression, which operates the best on sunny days but reduces its accuracy as the cloud interference with sunlight increases.

EV Wireless Power Transfer

Wireless power transfer (WPT), or inductive power transfer (IPT), is an emerging technology for transferring electric power in applications ranging from small consumer gadgets to electrically powered vehicles. One of the most significant advantages of WPT is its ability to transfer power across relatively large distances without the need for physical contact. In addition, WPT can operate in hazardous environments as it is resistant to chemicals, particulate debris, and some of the drawbacks of powering or charging via direct electrical connections, such as contact fouling and corrosion.


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