Notebook files for classification and detection of anomalous trend in time series inverter data
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Updated
Aug 28, 2020 - Jupyter Notebook
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Notebook files for classification and detection of anomalous trend in time series inverter data
AI-Powered Smart Energy Optimization System
EMS umbrella — project overview, diagrams, and ADR
Genetic algorithm optimization for DER allocation in distribution grids using pandapower
AI-powered conference deadline tracker for power systems and grid modernization research
Simulating success rates for a campaign encouraging consumers to shift their electric vehicle charging from peak to off-peak hours to help alleviate grid strain.
A deterministic, fail-safe Smart Grid (SG-Ready) heat pump controller using Home Assistant, ESPHome, HomeWizard and Shelly to convert PV surplus into thermal storage (fully local).
LITHOS: A sovereign open-source framework for resilient electrical grid mapping and geospatial intelligence. Designed for institutional standards, ensuring data autonomy, NIS2 compliance, and technical transparency for critical energy infrastructure.
Industrial IoT automation, predictive maintenance for energy grids, and smart manufacturing intelligence.
A cloud-native microservices platform for real-time energy telemetry and AI-driven compliance. Built with Go (Ingestion), Python (RAG/LLM), React (Dashboard), and deployed on Azure via Terraform.
Scenario-based comparative analysis framework for distributed intelligence architectures in healthcare and green energy systems. Introduces RS-CADI to study constraint trade-offs, failure-cost asymmetry, and strategic architectural biases using a qualitative, game-inspired analytical lens.
Top-level catalog and overview for the arcnode-io organization
Modular battery optimization using rule-based, threshold, and LP strategies.
Quantum-secured smart grid infrastructure for Starlink mesh networks. 445 qubits operational on IBM Quantum. Ready for SpaceX partnership.
FPGA-based solar-powered EV charging station with FSM-based charge control and MPPT implementation for efficient energy management. Designed in Verilog with ModelSim validation. Achieves real-time control, reduced peak demand, and improved battery health; accepted as a CRC Press/Taylor & Francis book chapter.
C# Smart Grid simulation with TCP/UDP socket communication between distributed energy generators and a central dispatcher server
DLR + tap control feedback loop
Настройки адаптивной сетки smartgrid и генерация в smart-grid.scss
Weather-based power load forecasting system using machine learning to predict electricity demand from historical weather and consumption data for improved energy management and planning.
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