XingZ2624

XingZ2624's Stars

• pvlib/pvlib-python

  A set of documented functions for simulating the performance of photovoltaic energy systems.

  Language:Python1.2k811k979

• databyjp/datashader_powergrid

  Demo app exploring the US power grid & renewable plants - Built with Dash, Dask, Datashader & Coiled

  Language:Python31109

• varunpillai/SmartGrid

  • Modeling an optimized solution for energy scheduling in a Smart Grid neighborhood using MATLAB & Excel

  Language:MATLAB272010

• rpglab/SCUC_PH2

  Benefit Analysis of Hydrogen Networks to the Renewable Power Grids. SCUC - day-ahead scheduling - for a hybrid super energy grid consisting of power systems and hydrogen networks. This work is under the open license: CC BY 4.0.

  Language:Python22111

• pranavsb/RL_smart_grid

  We implemented a general, extensible Environment of a Smart Grid with the ability to simulate interactions between multiple Sources and Loads. Using the Environment, we implemented RL Battery Agents - specifically, using Q-learning and SARSA. We also analysed on a use case of the smart grid: Implementation of a smart Battery Agent to power usage optimizations in a Dynamic Pricing scenario

  Language:Python21114

• Grv-Singh/Solar-Power-Forecasting

  ⚡ Power forecasting of 💚 renewable energy power plants is a very active research field, as reliable information about the 🔮 future power generation allow for a safe operation of the power grid and helps to ⤵ minimize the operational costs of these energy sources.

  Language:Python201214

• crond-jaist/GridAttackAnalyzer

  GridAttackAnalyzer: Smart Grid Attack Analysis Framework

  Language:Python181010

• jeffreytsaw/PowerGridRLAgent

  Implementations of DQN, DQN with PER, DDQN with PER, and DDDQN with PER agents to maximise reward in a 14 node power grid station

  Language:Python17004

• fnesveda/DemandManagement

  A diploma thesis investigating the options of controlling power demand of households to reduce peaks in total power consumption in smart grids.

  Language:Python16303

• goodstudentwhy/IMU_GPS_KF_Fusion

  使用卡尔曼融合GPS数据和加速度数据，一方面提升定位输出速率，一方面可以再GPS信号不好时通过IMU惯导辅助纠正路线，加速度数据已经转为惯导坐标系下，并做了滤波矫正处理

  Language:MATLAB155