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10qs_load_forecasting

Companion notebooks for the B&E paper on 'Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale'

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

data-science-books

deep-learning-books

Books To Master Deep Learning

deep-reinforcement-learning

To keep track and showcase

deep-reinforcement-learning-algorithms-with-pytorch

Clean and robust implementations of Reinforcement Learning algorithms by Pytorch

deep-reinforcement-learning-for-microgrids

A Deep Reinforcement Learning based approach for energy supply management in MicroGrids

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

energyds

f4sg

A tutorial on forecasting electricity demand.

heating-rl-agent

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

microgrid-ems-drl

Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.

microgrid-ems-optimization

This example walks through the process of developing an optimization routine that uses forecast pricing and loading conditions to optimally store/sell energy from a grid-scale battery system.

milp-uc

An optimization project on the unit commitment problem and its MILP solution implemented

multi-building-rl

project_codes

This repo contains all codes used in implementing my publicly available projects

projects

pypsa

PyPSA: Python for Power System Analysis

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

rl-starterpack

samir1206

Config files for my GitHub profile.

simpac-2023-55

Hybrid Gaussian Process CC-OPF with sparse approximation

sql_project_data_jobs

td3-pytorch

Using Pytorch to implement TD3 and play with bipedal