Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid
Medium-term electricity consumption and load forecasting in smart grids is an attractive topic of study, especially using innovative data analysis approaches for future energy consumption trends. Loss of electricity during generation and use is also a problem to be addressed. Both consumers and util...
Guardado en:
Autores principales: | Shahzad Aslam, Nasir Ayub, Umer Farooq, Muhammad Junaid Alvi, Fahad R. Albogamy, Gul Rukh, Syed Irtaza Haider, Ahmad Taher Azar, Rasool Bukhsh |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e73bf0d3aac84f8aaec6dfc93c4357f3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy
por: Hakan Acaroğlu, et al.
Publicado: (2021) -
Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction
por: Gergo Barta, et al.
Publicado: (2021) -
An Improved Non-Schedulable Load Forecasting Strategy for Enhancing the Performance of the Energy Management in a Nearly Zero Energy Building
por: Nikolaos Jabbour, et al.
Publicado: (2021) -
Energy Consumption Patterns and Load Forecasting with Profiled CNN-LSTM Networks
por: Kareem Al-Saudi, et al.
Publicado: (2021) -
Perkiraan Konsumsi Energi Listrik Di Aceh Pada Tahun 2028 Menggunakan Metode Adaptive Neuro Fuzzy Inference System
por: Yoga Tri Nugraha, et al.
Publicado: (2020)