Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data.
- DOI
- 10.3390/s18051443
- Published
- 2018 May 5
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s18051443,
title = {Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data.},
author = {Oprea SV and Pîrjan A and Căruțașu G and Petroșanu DM and Bâra A and Stănică JL and Coculescu C},
year = {2018},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s18051443},
url = {https://doi.org/10.3390/s18051443}
}RIS
TY - JOUR TI - Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data. AU - Oprea SV AU - Pîrjan A AU - Căruțașu G AU - Petroșanu DM AU - Bâra A AU - Stănică JL AU - Coculescu C PY - 2018 JO - Sensors (Basel, Switzerland) DO - 10.3390/s18051443 UR - https://doi.org/10.3390/s18051443 ER -
APA
SV, O., A, P., G, C., DM, P., A, B., JL, S., & C, C. (2018). Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s18051443
Source records
- pubmed · retrieved 2026-09-26T10:01:21.163Z
- europe-pmc · retrieved 2026-09-26T10:01:21.169Z