Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM

Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM

Heating load forecasting is the premise for guiding heating operation management and dispatching. Heating load forecasting is a time series prediction problem which requires us to predict the real-time heating loads in the next 24 hours using available historical records and weather information. In...

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Bibliographic Details
Main Authors: Junyu Liu, Xiao Wang, Yan Zhao, Bin Dong, Kuan Lu, Ranran Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
load forecasting
recurrent neural networks
time series
Online Access:https://ieeexplore.ieee.org/document/8986613/

Internet

https://ieeexplore.ieee.org/document/8986613/

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