Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.

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Intelligent battery switching device for personal light electric vehicles

EdgeDrive-Bench: A performance profiling suite for Lidar-based autonomous navigation. Quantifies the impact of hardware scaling (CPU/GPU throttling) and communication overhead (local vs. edge computing) on the total power draw of a RealSense-enabled robotic system.

PowerSense is a full-stack web app for real-time, room-level energy monitoring in campuses. It combines smart meter data with a device database to infer active loads and detect anomalies. The system identifies running devices through wattage matching and provides alerts and insights via a dynamic dashboard.

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Android app for the PowerSense project.

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PowerSense provides real-time insights into your home's energy consumption, empowering you to make smarter choices and reduce your carbon footprint. Our AI-powered system analyzes your usage patterns and delivers personalized recommendations to optimize your energy efficiency and lower your bills.

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Power sensing shield for ST Discovery STM32F407VG-based board.

Intelligent Electricity Consumption Monitoring and Optimization System.

An interactive home energy audit tool that shows you what you're wasting, why, and how to fix it.

Helper scripts to do ETL on data files of PowerSense.

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Home power monitoring via RTL-AMR

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PowerSense: A Deep Reinforcement Learning Framework for Power-Aware Throughput Optimization in High-Density Manufacturing Test Environments

⚡ PowerSense — Cross-platform Apple battery & power monitor. Native Xcode (iOS 17+/macOS 14+) + Expo mobile app (iOS/Android). Swift/SwiftUI + React Native.

This is repository for solar power monitoring system

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Tray Icon app to check and notify about DualSense battery state

proyecto

Self-service Business Intelligence platform inspired by QlikSense and Power BI. Drag-and-drop dashboard builder with cross-filtering, dynamic query engine, and 9 chart types.

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know befor it come

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An Logic-driven adaptive power management system that dynamically optimizes processor performance using workload prediction, DVFS, and clock gating. The project integrates Verilog-based hardware simulation with a Python backend and a real-time web dashboard to visualize power consumption and system behavior