A Short-Term Power Output Forecasting Based on Augmented Naïve Bayes Classifiers for High Wind Power Penetrations
Renewable-power-generating resources can provide unlimited clean energy and emit at most minute amounts of air pollutants and greenhouse gases, whereas fossil fuels are contributing to environmental pollution problems and climate change. The share of global power capacity comprising renewable-power-...
Enregistré dans:
| Auteurs principaux: | Gyeongmin Kim, Jin Hur |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/4eac79baac294e9bb9d479be21f0cc3c |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
ANALISA SENTIMEN TERHADAP TOKOH PUBLIK MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE
par: Deni Rusdiaman, et autres
Publié: (2019) -
Analisis Sentimen Dompet Elektronik Pada Twitter Menggunakan Metode Naïve Bayes Classifier
par: M. Wino Adi Putra, et autres
Publié: (2020) -
A Novel Hybrid Approach: Instance Weighted Hidden Naive Bayes
par: Liangjun Yu, et autres
Publié: (2021) -
Klasifikasi Menggunakan Metode Hybrid Bayessian-Neural Network (Studi Kasus: Identifikasi Virus Komputer)
par: Dian C Rini, et autres
Publié: (2016) -
Klasifikasi Algoritma Naive Bayes Dalam Memprediksi Tingkat Kelancaran Pembayaran Sewa Teras UMKM
par: Rizal Rachman, et autres
Publié: (2021)