Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration
- DOI
- 10.1016/j.rineng.2025.106512
- Published
- 2025-09
- Container
- Results in Engineering
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.rineng.2025.106512,
title = {Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration},
author = {Aditya Pai H and Kritika Kumari Mishra and Mahesh T R and J V Muruga Lal Jeyan and Anu Sayal},
year = {2025},
journal = {Results in Engineering},
doi = {10.1016/j.rineng.2025.106512},
url = {https://doi.org/10.1016/j.rineng.2025.106512}
}RIS
TY - JOUR TI - Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration AU - Aditya Pai H AU - Kritika Kumari Mishra AU - Mahesh T R AU - J V Muruga Lal Jeyan AU - Anu Sayal PY - 2025 JO - Results in Engineering DO - 10.1016/j.rineng.2025.106512 UR - https://doi.org/10.1016/j.rineng.2025.106512 ER -
APA
H, A. P., Mishra, K. K., R, M. T., Jeyan, J. V. M. L., & Sayal, A. (2025). Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration. Results in Engineering. https://doi.org/10.1016/j.rineng.2025.106512
Source records
- crossref · retrieved 2026-09-26T17:03:59.824Z