Energy Management and Grid Optimization

Design and implement a micro frontend system that combines multiple independent modules into a seamless user interface for energy customers, utilizing modern frontend technologies and architectural patterns.

Design a scalable IoT data management platform that facilitates device onboarding, real-time monitoring, analytics, alerting, reporting, and predictive modeling, along with integrations tailored to customer needs.

Design a comprehensive system capable of real-time energy consumption monitoring, automated control, predictive analytics, and secure data processing, with interfaces enabling device control, data visualization, and anomaly detection.

Development of a comprehensive internal analytics dashboard combining real-time sensor data, historical trends, forecast data, and user-customizable metrics, with role-based access for building administrators and energy experts.

A comprehensive system capable of autonomous data acquisition, storage, analysis (including machine learning algorithms), and visualization of energy and water consumption metrics across multiple facilities.

The platform must facilitate energy audits through step-by-step forms, analyze entered data to assess current energy consumption, and produce downloadable PDF reports with visualized data and recommendations.

Develop a comprehensive digital twin-based platform enabling real-time energy efficiency monitoring, data aggregation from smart devices, report generation, and system scalability through microservices architecture.

A comprehensive energy analytics system that ingests, processes, and visualizes large-scale real-time energy consumption data using serverless cloud infrastructure.