Custom Component voor Home Assistant Frank Energie prijsinformatie
Dynamic pricing of e-shop products through machine learning algorithms
Live Belgian electricity prices for homeassistant
Creating a Bitcoin Lightning Network Enabled Energy Grid
📊 Inteligentne zarządzanie cenami energii w Polsce dla Home Assistant. Teryfy Dynamiczne, symulacja kosztów (porównywarka teryf) na żywo.
Optimize energy consumption and battery storage by identifying cheapest charging windows based on dynamic electricity prices
This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".
Unofficial Home Assistant integration (HACS) for the 1KOMMA5° Heartbeat platform: dynamic electricity prices (dynamischer Stromtarif), PV, battery, heat pump (Wärmepumpe), EV wallbox, weather forecast — full HA Energy Dashboard support.
Creating a decision support system for a newly launched product.
STAD-GCN: Spatial-Temporal Attention-based Dynamic Graph Convolutional Network for Retail Market Price Prediction, pytorch version (ESWA 2024)
An electricity price integration for Home Assistant from Selectra. Allows turning devices on and off based on the price of electricity. Perfect for off-peak, demand-response and dynamic offers.
Automated competitive intelligence system and dynamic pricing engine utilizing Selenium RPA and Python. Features real-time market surveillance across major Turkish marketplaces (Trendyol, Hepsiburada).
Integration for Home Assistant to fetch day ahead energy prices from EnergieDirect NL Public API
Multi-agent AI system for autonomous retail pricing optimization using Amazon Bedrock AgentCore. 6 specialized agents orchestrate competitive intelligence, demand forecasting, and strategy synthesis to generate ranked pricing scenarios with human-in-the-loop governance.
This project applies Q-Learing for dynamic pricing decision-making optimization
A data-driven dynamic pricing API built with FastAPI, Pandas, and SciPy optimization.
Dynamic Pricing is an application of data science that involves adjusting the prices of a product or service based on various factors in real time. It is used by companies to optimize revenue by setting flexible prices that respond to market demand, demographics, customer behaviour and competitor prices.
Decision research for fashion retail demand forecasting, lifecycle state and markdown optimization.
Comprehensive workflow for analyzing price trends in e-commerce platforms using SQL, Python, and Tableau. Includes data engineering, warehousing, dynamic pricing, and BI visualization.
Autonomous AI Agent & Dynamic Repricer for Ozon. Includes unit economics calculation, OSINT competitor monitoring, margin protection, and SEO content generation. Supports Docker deployment.
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