LightRitter/Frequency-and-Power-Prediction-System
Machine Learning Tool to Forecast Grid Frequency and Scheduled Power Generation of Thermal Power Plant.
This system helps thermal power plant operators anticipate future electricity grid frequency and the power generation levels they need to maintain. It takes real-time frequency, scheduled power, and actual power data from a load dispatch center and provides predictions for the next 15-minute block and a future block (45 minutes out). Power plant managers and grid operators can use this to optimize power generation and ensure grid stability.
No commits in the last 6 months.
Use this if you manage a thermal power plant and need real-time forecasts of grid frequency and scheduled power to make informed decisions about your plant's output.
Not ideal if you need long-term energy market predictions or are managing renewable energy sources with different variability patterns.
Stars
15
Forks
1
Language
MATLAB
License
—
Category
Last pushed
Nov 01, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/LightRitter/Frequency-and-Power-Prediction-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
saizk/Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.
FateMurphy/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD...