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.
Exploring probabilistic time series methods for electricity demand forecasting
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.
Robust regression for electricity demand forecasting against cyberattacks
Electricity Load Forecasting
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