energy-analytics

Applied machine learning toolkit implementing Double Machine Learning for Energy Analytics.

Free Fast Self-hosted Energy & Water Consumption Tracker - PWA, i18n, A11y - Compatible target systems include Home Assistant, Windows, Mac, Synology, QNAP, Raspberry Pi, ASUSTOR, Unraid, TrueNAS and other Linux-based servers; Docker included.

Multi-AI Agent Energy Management System with HILS simulation, Hybrid AI (ML+LLM), and MCP Runtime - Real-time visualization demo for smart grid optimization

Short-term hourly electricity demand forecasting for the SOCO balancing authority using historical load, weather data, SARIMAX, Prophet, and XGBoost.

UK day-ahead electricity price prediction using weather-driven renewables forecasting + ML (XGBoost/SVR), including spike detection + battery arbitrage evaluation.

AI system for energy demand forecasting and grid optimization. Uses time series analysis and weather data to predict energy consumption, optimize renewable energy integration, and prevent grid failures.

⚡ Simulate and visualize energy management with a multi-agent AI framework for real-time insights and efficient resource utilization.

Analysis toolkit comparing nuclear, wind, and solar energy data with reproducible scripts and notebooks.

SmartWatt is a hybrid AI and physics-based residential energy estimation platform for Kerala households, providing appliance-wise consumption analysis, KSEB-aligned bill insights, and optimization recommendations.

Simple, friendly U.S. weather app built with C# and Blazor-search any city or ZIP for current conditions and a 7-day forecast.

Complete data architecture and machine learning project for industrial cost analysis. Includes a modern ETL pipeline (Bronze-Silver-Gold), validations with Great Expectations, Prefect orchestration, in-depth EDA, predictive models (Random Forest and Gradient Boosting), and deployment via Streamlit.

Machine learning and time-series forecasting for smart grid demand response analysis.

Power BI dashboard analyzing AMI smart-meter data for a utility provider tracking energy consumption, demand forecasting, theft/anomaly detection, and billing complaints. Built as a self-initiated project inspired by Fluentgrid Limited's work with APEPDCL.

Learn how to visualize power consumption trends using Syncfusion WPF Surface Charts. This guide covers creating interactive 3D charts, binding energy data, customizing chart appearance, and optimizing performance to display annual power usage patterns across countries.

Global EV charging & EV models (2025) EDA: infrastructure coverage, fast-charging patterns, city/country gaps, and model-level market summaries.

An end-to-end AI forecasting system designed to predict hourly energy consumption for commercial buildings. Developed using Python and Random Forest to optimize grid efficiency, reduce operational costs, and support sustainable energy management.

Solar plant performance monitoring dashboard built using Power BI and DAX

Big-data analytics for GB electricity demand, renewable generation and frequency stability.

Analyzing a 30Kwh off-grid solar + battery system. Tracks production, reliability, battery health, savings, carbon impact for 9 plants in Karen, Nairobi

The impact of ongoing iran us war on energy giants in germany and possible outcomes for future