yangmingmei / FloatingFarmYaw
Floating Offshore Wind Farm Yaw Control via Model-based Deep Reinforcement Learning
☆11Updated 2 months ago
Alternatives and similar repositories for FloatingFarmYaw
Users that are interested in FloatingFarmYaw are comparing it to the libraries listed below
Sorting:
- 基于LSTM模型的负荷预测代码(含接口)☆9Updated 7 months ago
- Day-Ahead Optimal Dispatch Strategy for High Wind Penetration Power System Considering Frequency Response Characteristics of Deep Peak-Re…☆8Updated 7 months ago
- a novel framework based on a physics-informed neural network dubbed as PhysCon that combines the interpretable ability of physical laws a…☆11Updated 2 years ago
- Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, w…☆10Updated 7 months ago
- Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation☆37Updated last year
- Physics informed neural networks for control-oriented building thermal models☆27Updated 3 years ago
- An exhaustive MATLAB implementation of the steady-state FLORIS wind farm model☆16Updated 4 years ago
- This is the code and data for the IEEE TPEL paper "Parameter Estimation of Power Electronic Converters with Physics-informed Machine Lear…☆60Updated 6 months ago
- Following repository contains the Architecture and its code for Continuous Domain RL Agents that include: DDPG, TRPO, PPO, SAC and TD3.☆11Updated 6 months ago
- Predictive energy management for hybrid-electric aircraft with parallel propulsion system.☆13Updated 2 years ago
- Dynamic implementation of the FLORIS model☆19Updated last year
- A control-oriented medium-fidelity wind farm model based on the unsteady 2D Navier-Stokes equations☆31Updated 5 years ago
- 这是将GA(遗传算法)用于优化PSO(粒子群算法)的模型,该模型将两种算法集成,可以有效地避免PSO算法局部收敛速度快的缺点,更容易找到全局最优解;☆10Updated 7 months ago
- An innovative short-term multihorizon photovoltaic power output forecasting method based on variational mode decomposition and a capsule …☆10Updated last month
- Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm.☆9Updated 2 years ago
- This repository contains all the work developed in the context of the Master Thesis dissertation entitled Model Predictive Control for Wa…☆23Updated 2 years ago
- Code for paper "A-Velocity-quasiLPV-MPC-Algorithm-for-Wind-Turbine-Control"☆13Updated 3 years ago
- Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems☆40Updated 8 months ago
- 20 MW common research wind turbine model data☆11Updated 9 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆104Updated last year
- Transform a Modelica model (BSM1) into a Python OpenAI Gym environment, and optimize operation cost using reinforcement learning.☆16Updated 3 years ago
- DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to…☆33Updated last month
- SOC prediction based on battery data.☆19Updated 4 years ago
- LSTM neural network realizes the prediction of wind speed through the learning of various parameters. It can provide important support fo…☆41Updated 4 years ago
- Fuhrländer FL2500 2.5MW wind turbine dataset + pre-processing functions R MATLAB☆15Updated last year
- Physics-informed neural network trained to provide the evolution of lithium concentration in active material particles in both electrodes…☆18Updated last year
- Full Keras Transformer neural network (encoder and decoder) for SOC estimation (time-series prediction)☆16Updated 2 years ago
- ☆32Updated 4 years ago
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆18Updated 3 years ago
- ☆67Updated last year