Beckybams / Battery-Health-Prediction-for-Solar-SystemsLinks
Battery Health Prediction for Solar Systems uses machine learning to analyze voltage, current, temperature, and usage patterns to estimate battery state of health. It enables early fault detection, lifespan prediction, optimized maintenance, reduced downtime, and improved reliability and efficiency
☆32Updated last week
Alternatives and similar repositories for Battery-Health-Prediction-for-Solar-Systems
Users that are interested in Battery-Health-Prediction-for-Solar-Systems are comparing it to the libraries listed below
Sorting:
- ☆32Updated 6 months ago
- ☆22Updated 6 months ago
- ☆22Updated 6 months ago
- ☆32Updated this week
- The AI Chatbot for Eco-Friendly Lifestyle Tips promotes sustainable living by offering personalized, AI-driven suggestions on energy use,…☆40Updated 2 months ago
- ☆27Updated 6 months ago
- ☆23Updated 6 months ago
- ☆24Updated 6 months ago
- ☆31Updated 6 months ago
- Scrape and display tech and cybersecurity news headlines in real time using NewsAPI. Allow user-selected topics and push notifications.☆47Updated 6 months ago
- ☆32Updated 6 months ago
- AI for Waste Management Optimization uses machine learning to predict waste bin fill levels, optimize collection routes, and reduce opera…☆33Updated 2 weeks ago
- ☆24Updated 6 months ago
- ☆32Updated 6 months ago
- Renewable-Energy-Generation-Forecasting uses AI and statistical models to predict solar, wind, and hydro power output. By analyzing weath…☆33Updated last week
- ☆24Updated 6 months ago
- ☆31Updated 6 months ago
- ESG-Risk-Analysis-with-NLP utilizes Natural Language Processing to assess Environmental, Social, and Governance risks from text data. It …☆36Updated 2 months ago
- AI-driven demand-side energy management optimizes how consumers use electricity by forecasting demand, shifting loads, and automating ene…☆40Updated last month
- This project leverages machine learning to optimize how philanthropic resources are allocated for addressing climate change. By analyzing…☆34Updated 2 months ago
- This project leverages crowdsourced data and machine learning to detect and classify environmental issues. It empowers communities and or…☆33Updated 2 months ago
- The AI-Driven Urban Sustainability Score project uses artificial intelligence to evaluate and rank cities based on environmental, social,…☆41Updated 2 months ago
- ☆24Updated 6 months ago
- ☆22Updated 6 months ago
- ☆24Updated 6 months ago
- ☆22Updated 6 months ago
- ☆22Updated 6 months ago
- ☆24Updated 6 months ago
- ☆23Updated 6 months ago
- This project uses AI to map biodiversity hotspots by analyzing environmental variables and species richness data. A machine learning mode…☆41Updated 6 months ago