Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models
Use RL to balance the electrical power grid with electric vehicle fleets
Multi-User-Personality-Electricity-Load-Forecasting
This project will present an applied and game-like approach to simulating the load growth, investment decisions by two types of generation technologies, demand-price responsiveness, and reliability, of a test-case power system. The simulation begins as a 9-bus system with existing generation (3 generators) and transmission lines (8 lines). Syste…
Forecasting time series data with MLP by Google TensorFlow.
Multi-User-Personality-Electricity-Load-Forecasting
A study on energy demand forecasting based on smart meters data. The report and the presentation of the study are also provided in this repository.
Statistical evaluation of renewable and non-renewable electricity generation in the EU.
A Fuzzy system to predict the hourly electricity demand. Used triangular membership funcitons with 13 real world rules.
Electricity Load Forecasting
Robust regression for electricity demand forecasting against cyberattacks
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