Alaina1713/Smart-Energy-Consumption-Forecasting-System
A full-stack IoT and AI-powered platform that predicts electricity usage for households and industries using LSTM-based forecasting. It features real-time anomaly detection to identify sudden spikes in energy consumption, helping utility providers and energy managers optimize usage efficiently.
No commits in the last 6 months.
Stars
—
Forks
—
Language
JavaScript
License
MIT
Category
Last pushed
Sep 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Alaina1713/Smart-Energy-Consumption-Forecasting-System"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FlexMeasures/flexmeasures
The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly...
ml-energy/zeus
Measure and optimize the energy consumption of your AI applications!
pyaf/load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
FateMurphy/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD...
saizk/Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.