Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network

Mert Nakıp, Onur Çopur, Emrah Biyik, Cüneyt Güzeliş

Open source

DOI
10.1016/j.apenergy.2023.121014
Published
2023-06
Container
Applied Energy
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.apenergy.2023.121014,
  title = {Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network},
  author = {Mert Nakıp and Onur Çopur and Emrah Biyik and Cüneyt Güzeliş},
  year = {2023},
  journal = {Applied Energy},
  doi = {10.1016/j.apenergy.2023.121014},
  url = {https://doi.org/10.1016/j.apenergy.2023.121014}
}

RIS

TY  - JOUR
TI  - Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network
AU  - Mert Nakıp
AU  - Onur Çopur
AU  - Emrah Biyik
AU  - Cüneyt Güzeliş
PY  - 2023
JO  - Applied Energy
DO  - 10.1016/j.apenergy.2023.121014
UR  - https://doi.org/10.1016/j.apenergy.2023.121014
ER  - 

APA

Nakıp, M., Çopur, O., Biyik, E., & Güzeliş, C. (2023). Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. Applied Energy. https://doi.org/10.1016/j.apenergy.2023.121014

Source records