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

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

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

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.

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.

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

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.

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.

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

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.

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

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.

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

Scenario-based analysis of global oil market supply–demand balances, OPEC+ policy sensitivity and geopolitical risk drivers, using OPEC, EIA and OEUK data.

Data-driven analysis of solar farm data from Benin, Sierra Leone, and Togo, using statistical analysis and EDA to identify high-potential regions for solar installations. Delivers actionable insights to enhance operational efficiency and support sustainable energy investments.

Solar plant performance monitoring dashboard built using Power BI and DAX

Data-driven analysis of Nigeria’s electricity system (2000–2024) using Python, Sql, Power BI.

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

🔋⚡ Professional LOAD OUTPUT monitoring for Victron MPPT solar chargers - Real-time kWh tracking of load consumption with ESP82XX + ioBroker + MQTT

Portfolio lakehouse project for energy operations analytics using Databricks, SQL, data quality checks and dashboard-ready outputs.