Cover Image

Causal Feature Selection for Weather-Driven Residential Load Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Elise, Mirallès, François, Dellacherie, Stéphane, Wu, Di, Boulet, Benoit
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
by: Zhang, Elise, et al.
Published: (2025)

Meta-Reinforcement Learning for Building Energy Management System
by: Zhang, Huiliang, et al.
Published: (2022)

Probabilistic Time Series Forecasting of Residential Loads -- A Copula Approach
by: Jeschke, Marco, et al.
Published: (2025)

Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

e-Values for Real-Time Residential Electricity Demand Forecast Model Selection
by: Backhaus, Fabian, et al.
Published: (2024)

Short-Term Forecasting of Thermostatic and Residential Loads Using Long Short-Term Memory Recurrent Neural Networks
by: Nguyen, Bang, et al.
Published: (2024)

Residential Peak Load Reduction via Direct Load Control under Limited Information
by: Kaiser, Katharina, et al.
Published: (2026)

Beyond Weather Correlation: A Comparative Study of Static and Temporal Neural Architectures for Fine-Grained Residential Energy Consumption Forecasting in Melbourne, Australia
by: Hewage, Prasad Nimantha Madusanka Ukwatta, et al.
Published: (2026)

Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
by: Dong, Yi, et al.
Published: (2024)

Quantification of Residential Flexibility Potential using Global Forecasting Models
by: Nespoli, Lorenzo, et al.
Published: (2023)

Regime-Adaptive Weighted Ensemble Learning for Computing-Driven Dynamic Load Forecasting in AI Data Centers
by: Wang, Ziying, et al.
Published: (2026)

Deployment-Efficient Short-Term Load Forecasting in AI Data Centers via Sequence-to-Point Knowledge Distillation
by: Wang, Lei, et al.
Published: (2026)

Towards a Deeper Understanding of Transformer for Residential Non-intrusive Load Monitoring
by: Rahman, Minhajur, et al.
Published: (2024)

Resilient Load Forecasting under Climate Change: Adaptive Conditional Neural Processes for Few-Shot Extreme Load Forecasting
by: Hu, Chenxi, et al.
Published: (2026)

Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning
by: Zhang, Ruichang, et al.
Published: (2024)

Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load Scheduling
by: Makroum, Reda El, et al.
Published: (2025)

A General Framework for Load Forecasting based on Pre-trained Large Language Model
by: Gao, Mingyang, et al.
Published: (2024)

Net Load Forecasting Using Machine Learning with Growing Renewable Power Capacity Features: A Comparative Study of Direct and Indirect Methods
by: Bolusteve, Oluwafolajimi Samuel, et al.
Published: (2026)

Weather Sensitive High Spatio-Temporal Resolution Transportation Electric Load Profiles For Multiple Decarbonization Pathways
by: Acharya, Samrat, et al.
Published: (2023)

Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas
by: Austnes, Pål Forr, et al.
Published: (2023)

Cloud-Based Interoperability in Residential Energy Systems
by: Leniston, Darren, et al.
Published: (2025)

Multiobjective Model Predictive Control for Residential Demand Response Management Under Uncertainty
by: Lin, Guan-Ting, et al.
Published: (2026)

Cyber Resilience of Three-phase Unbalanced Distribution System Restoration under Sparse Adversarial Attack on Load Forecasting
by: Chao, Chen, et al.
Published: (2025)

LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids
by: Silva-Rodriguez, Jesus, et al.
Published: (2024)

Data-Driven EV Charging Load Profile Estimation and Typical EV Daily Load Dataset Generation
by: Fang, Linhan, et al.
Published: (2025)

Distribution Grids May Be a Barrier To Residential Electrification
by: Priyadarshan, et al.
Published: (2024)

Ageing-aware Energy Management for Residential Multi-Carrier Energy Systems
by: Slaifstein, Darío, et al.
Published: (2025)

Weather-Driven Priority Charging for Battery Storage Systems in Hybrid Renewable Energy Grids
by: Bhatt, Dhrumil, et al.
Published: (2025)

Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
by: Wang, Zhan, et al.
Published: (2025)

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting
by: Raffoul, Elias, et al.
Published: (2024)

Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction
by: Lu, Nan, et al.
Published: (2024)

Exploring Lightweight Federated Learning for Distributed Load Forecasting
by: Duttagupta, Abhishek, et al.
Published: (2024)

Assessing the Impact of Electric Vehicle Charging on Residential Distribution Grids
by: Raffoul, Elias, et al.
Published: (2024)

Advancing Standard Load Profiles with Data-Driven Techniques and Recent Datasets
by: Gabrielski, Jawana, et al.
Published: (2025)

On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and Algorithm
by: Chen, Mingji, et al.
Published: (2025)

Residential Battery Pooling Under Backup Commitments
by: Anunrojwong, Jerry, et al.
Published: (2026)

On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material)
by: Lu, Shuai, et al.
Published: (2024)

DALNet: A Denoising Diffusion Probabilistic Model for High-Fidelity Day-Ahead Load Forecasting
by: Guo, Han, et al.
Published: (2025)

Local Cold Load Pick-up Estimation Using Customer Energy Consumption Measurements
by: Bajic, Sanja, et al.
Published: (2024)

Impact of Solar Integration on Grid Security: Unveiling Vulnerabilities in Load Redistribution Attacks
by: Verma, Praveen, et al.
Published: (2025)