Thunder is a comprehensive intelligent and state of the art energy performance management and remote monitoring solution which provides actionable insights and decision support system to telecom operators, enabling them to make informed choices for energy consumption optimization through network reconfiguration based on real-time energy consumption trends from different sources including grid, solar, diesel generators. Thunder empowers telecom operators and tower sharing companies to manage and optimize energy OPEX costs especially for off-grid, bad-grid sites and non-performing cell sites in the network. It also helps reduce required visits to sites for equipment maintenance and refueling effectively cutting down required man-hours and resources by operations teams. It also enables user organization to automate energy configuration changes remotely in real-time with the goal to minimize energy OPEX costs.

Thunder platform has been meticulously designed and developed by our partner (Brillanz Group) to effectively provide descriptive, prescriptive and predictive analytics on power infrastructure of telecom cell sites including power backup systems, rectifier system, renewable energy solutions, backup generators, grid and cooling systems with high reliability and precision. It provides summary dashboards for management decisions and review while at the same time offers detailed analytics and visualizations relevant for network operations teams to reduce energy costs and generate OPEX savings by using available cheaper power sources on priority. Thunder offers deep analytics by extracting relevant useful information from huge data sets which helps operations team to perform root cause analysis to timely handle critical situations and unforeseen events.

Thunder is powered with our proprietary ML and AI based algorithms which doesn’t just acquire, process and store energy infrastructure information for data visualizations but it also learns from historical trends and patterns to identify, predict and highlight any potential gaps and areas of improvements in system configurations to enhance energy system efficiency and optimize energy OPEX costs for fuel and equipment maintenance. The platform can predict upcoming CAPEX requirements by identifying energy infrastructure components and equipment reaching end-of-life or requires replacement or maintenance due to poor performance. It can predict grid outages based on historical data to suggest fast charging of battery backup system so it may last during outage window, thus, resulting in not only savings on fuel costs but also ensuring the balance for desired longevity of network energy elements. Moreover, Thunder has the capability to raise alarms to designated operations teams for predictive maintenance by highlighting events requiring attention based on variation from defined thresholds in real-time data and trends.

Thunder is based on a multi-technology data ingestion and unified data model, consolidating information coming from multiple types of equipment from energy infrastructure at a cell site. It leverages our in-depth understanding of O&M requirements of telecom companies and wish list of management stakeholders. Thunder allows the granular, parameter level monitoring and remote management of site equipment by aggregating data from thousands of sites onto unified visual dashboards. The aggregation and intelligent funneling of collected data into meaningful information allows telecom stakeholders to discover impact of dynamic environmental factors on operational parameters, giving them actionable insight and ability to tune configurations remotely for optimizing asset performance and life. Negligence in configuration of site equipment to non-optimal levels can lead to excessive power consumption and can also shorten the life span of deployed assets. Thunder provides a framework for collecting diagnostic information for deriving outcome-oriented insights about the health and performance of power and energy assets. The platform collects, analyses and detects faults or suboptimal performance to generate alarms and notifications with to operational teams in real time an up-to-date snapshot of the deployed assets.