This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under uncertainty." arXiv preprint arXiv:2401.03680 (2024). We developed the benchmark model based on load forecasting for two-stage electricity generation scheduling in IEEE 118-Bus system, a widely recognized test cas…
☆34Apr 13, 2025Updated last year
Alternatives and similar repositories for Decision-Focused-Learning-Benchmarks
Users that are interested in Decision-Focused-Learning-Benchmarks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆16Mar 15, 2020Updated 6 years ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆21May 16, 2024Updated 2 years ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆25Jul 25, 2024Updated last year
- Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization☆31Sep 13, 2024Updated last year
- A model predictive control based voltage source inverter☆11Jan 11, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆32Jun 24, 2025Updated 11 months ago
- Benchmark problems for decision-focused learning☆17Jun 8, 2026Updated last week
- Code for my master thesis on hierarchical probabilistic forecasting of smart meter time series using weather input.☆11Aug 21, 2022Updated 3 years ago
- ☆27May 29, 2025Updated last year
- This novel model and associated paper proposes the use of a two-stage K- means clustering for variable selection and then using decision …☆11Nov 4, 2020Updated 5 years ago
- Data for eight zones in New England as used in the 2017 Global Energy Forecasting Competition (GEFCom2017).☆13Mar 7, 2020Updated 6 years ago
- Wind power output forecast☆12Aug 20, 2020Updated 5 years ago
- Here, the most popular Electric Load Forecasting datasets are collected centrally. Feel free to support this work. 🔥☆32Apr 27, 2026Updated last month
- Optimal forecast reconciliation with time series selection☆11Oct 23, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Instant Graph Neural Networks for Dynamic Graphs☆11Dec 28, 2022Updated 3 years ago
- Code repository for "Multi-Task Encoder-Dual-Decoder Modeling Framework on Mixed Frequency Data", International Journal of Forecasting, 2…☆13Feb 18, 2024Updated 2 years ago
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆10Jul 7, 2022Updated 3 years ago
- End-to-end distributionally robust optimization☆39Apr 15, 2023Updated 3 years ago
- This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.☆12Mar 14, 2024Updated 2 years ago
- Fast Computation of Zigzag Persistence☆14Dec 9, 2023Updated 2 years ago
- 2022年电工杯数模☆15May 30, 2022Updated 4 years ago
- This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Pr…☆35Jul 15, 2025Updated 10 months ago
- Official repo to paper☆12Jan 15, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆17Jan 7, 2025Updated last year
- Diebold-Mariano statistical test☆13Jan 9, 2025Updated last year
- Master Thesis: Optimal Power Flow in Power Systems using Graph Neural Networks☆22Jan 30, 2024Updated 2 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆80Mar 11, 2025Updated last year
- [ICML'25] Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | 样本级别的自适应多模型集成时间序列预测☆29May 22, 2025Updated last year
- R Package for Imbalanced Regression☆19Apr 3, 2023Updated 3 years ago
- 层次分析法☆15Feb 23, 2023Updated 3 years ago
- Official implementation of the paper "FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving G…☆16Sep 5, 2023Updated 2 years ago
- Code of the paper 'Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum' published in AAAI-2024☆20Nov 2, 2025Updated 7 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆21Jan 11, 2024Updated 2 years ago
- The official implementation of paper "Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting" (DASFAA 2026)☆17Apr 21, 2026Updated last month
- [NeurIPS 2024] FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation☆14Mar 4, 2025Updated last year
- Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…☆11May 22, 2024Updated 2 years ago
- Official implementation of the paper "Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting".☆31Mar 11, 2026Updated 3 months ago
- BackTime: Backdoor Attacks on Multivariate Time Series Forecasting☆31Apr 14, 2025Updated last year
- Simulations codes for the paper titled "Strategic Bidding for Producers in Nodal Electricity Markets: A Convex Relaxation Approach"☆20May 8, 2017Updated 9 years ago