This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.
☆13Mar 14, 2024Updated 2 years ago
Alternatives and similar repositories for task_aware_machine_unlearning
Users that are interested in task_aware_machine_unlearning are comparing it to the libraries listed below
Sorting:
- Privacy-preserving optimal power flow problem for distribution grids☆14Sep 3, 2022Updated 3 years ago
- This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Pr…☆34Jul 15, 2025Updated 8 months ago
- MPNG☆11Sep 13, 2023Updated 2 years ago
- This set of codes implements our NAPS paper "Reduced Optimal Power Flow Using Graph Neural Network". This work is under the open license:…☆14Feb 23, 2024Updated 2 years ago
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆11Jul 7, 2022Updated 3 years ago
- This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"☆26Dec 8, 2022Updated 3 years ago
- ☆27Jun 19, 2025Updated 9 months ago
- Repository of reference Gabriel graph, Internet Topology Zoo, SNDlib, CAIDA and synthetic backbone topologies for networking research☆12Sep 30, 2025Updated 5 months ago
- PyTorch utilities for Optimal Power Flow☆29Mar 17, 2025Updated last year
- Continental United States Distributed Energy Resources(DER) Dataset☆21Jun 29, 2023Updated 2 years ago
- Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows☆15Jun 9, 2022Updated 3 years ago
- ☆18Aug 3, 2019Updated 6 years ago
- Short-Term Probabilistic Load Forecasting at Low Aggregation Levels Using Convolutional Neural Networks☆10Sep 19, 2019Updated 6 years ago
- ☆14Mar 3, 2025Updated last year
- Convert CVXPY expressions to PyTorch expressions☆19Jul 8, 2025Updated 8 months ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆23Apr 13, 2025Updated 11 months ago
- Benchmark problems for decision-focused learning☆15Mar 13, 2026Updated last week
- This repo contains all the codes and data for 'Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving T…☆38Jan 4, 2023Updated 3 years ago
- A framework for load forecasting, where seasonal cycles are removed from the input signal. A genetic algorithm is used to parameterize va…☆10Jul 24, 2020Updated 5 years ago
- Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.☆41May 6, 2022Updated 3 years ago
- Test for Graph Unlearning Benchmark☆19Jul 12, 2025Updated 8 months ago
- ☆12Sep 15, 2021Updated 4 years ago
- Anderson Acceleration for ADMM☆34Nov 7, 2019Updated 6 years ago
- Code for my master thesis on hierarchical probabilistic forecasting of smart meter time series using weather input.☆11Aug 21, 2022Updated 3 years ago
- Machine learning project for forecasting energy demand in a microgrid in Bristol☆10May 12, 2021Updated 4 years ago
- Power System simulation tool to visualize the steady state power system operation, such as optimal power flow and state estimation. The f…☆46Apr 27, 2022Updated 3 years ago
- Data for eight zones in New England as used in the 2017 Global Energy Forecasting Competition (GEFCom2017).☆11Mar 7, 2020Updated 6 years ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆20May 16, 2024Updated last year
- Short Term Load Forecasting with ES-dRNN☆14Dec 8, 2022Updated 3 years ago
- ☆15Mar 24, 2023Updated 2 years ago
- day-ahead load forecast on residential customers☆14Nov 18, 2017Updated 8 years ago
- This script loads desired stock price training data, trains an XGBoost Regressor for Time Series Forecasting (allowing fine-tuning) and d…☆13Jul 6, 2022Updated 3 years ago
- Load Forecasting using Machine Learning example for Valohai☆14Sep 19, 2019Updated 6 years ago
- RL4NeT++: a packet-level network simulation framework for DRL-based routing algorithms☆16Dec 9, 2023Updated 2 years ago
- EMD-VMD-TCN short-term load forecasting☆15Jun 10, 2023Updated 2 years ago
- ☆27Jan 8, 2024Updated 2 years ago
- Work done for paper (Load Forecasting using Deep Neural Networks) at IEEE SmartGridComm 2016 — Edit☆19Aug 2, 2016Updated 9 years ago
- A simple implementation of the Benders decomposition method with JuMP☆11Feb 21, 2023Updated 3 years ago
- ☆13Feb 8, 2019Updated 7 years ago