Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid

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...

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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:
smart grid
electricity price forecasting
energy management
electricity load forecasting
convolutional neural network
corona virus herd immunity optimization
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Acceso en línea:https://doaj.org/article/e73bf0d3aac84f8aaec6dfc93c4357f3
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https://doaj.org/article/e73bf0d3aac84f8aaec6dfc93c4357f3

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