Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy

Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy

Electric power consumption short-term forecasting for individual households is an important and challenging topic in the fields of AI-enhanced energy saving, smart grid planning, sustainable energy usage and electricity market bidding system design. Due to the variability of each household&#8217...

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Bibliographic Details
Main Authors: Ke Yan, Xudong Wang, Yang Du, Ning Jin, Haichao Huang, Hangxia Zhou
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
electric power consumption
multi-step forecasting
long short term memory
convolutional neural network
Online Access:https://www.mdpi.com/1996-1073/11/11/3089

Internet

https://www.mdpi.com/1996-1073/11/11/3089

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