DKM's repositories
awesome
😎 Awesome lists about all kinds of interesting topics
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Awesome-Maths-Learning
😎 📜 Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets.
awesome-optimization
A curated list of awesome mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Awesome-TimeSeries-SpatioTemporal-Diffusion-Model
A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
DC_OPF_model
Nodal Cost Model that analyzes the impact of Hurricane Florence's inland flooding on the North Carolina grid. The model enables users to evaluate how substation elevations (ranging from 0-10ft) affect the grid's behavior, with metrics including shadow costs, changes in power flows, and impacted communities.
energy-syst-1ACOPF-with-Pyomo-Pypower-Ipopt
ACOPF with Pyomo/Pypower/Ipopt
evolutionary-computing-minlp_123
evolutionary-computing-minlpResources used by OPENDSS to calculate IEEE123 and MATLAB network power flow
Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
Gurobi-based-modeling-examples
Gurobi modeling examples
gurobi-optimods
Data-driven APIs for common optimization tasks
hedge
Home electricity data generator
IBDG
Algorithm for CC and PF calculation for 123 Test Feeder systems with high presence of IBDG
MIPLearn
Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)
MOO-CPES
Multi-Objective Optimization in Cyber-Physical Energy Systems
OPLEM
Open Platform for Local Energy Markets
Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
sac
Soft Actor-Critic
TextbookSimulations
Examples and problems accompanying Daniel Kirschen's Power Systems Textbook
Workshop_AI_for_Intelligent_Energy_Systems
AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications of NLP/LLM, GNNS and RL in Energy Systems. The code labs in workshop have been provided for interested students and researchers.