A Short-Term Household Load Forecasting Framework Using LSTM and Data Preparation

A Short-Term Household Load Forecasting Framework Using LSTM and Data Preparation

IoT devices are deployed in a building to instantly collect electricity load usage for next hour load consumption forecasting so that the operation of the building can be properly managed. However, due to the hardware or system error, data missing or overflow might occur. Noise might also be added i...

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Bibliographic Details
Main Authors: Derni Ageng, Chin-Ya Huang, Ray-Guang Cheng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Short-term load forecasting
long short-term memory (LSTM)
smart meter
data pre-processing
feature engineering
Online Access:https://ieeexplore.ieee.org/document/9641857/

Internet

https://ieeexplore.ieee.org/document/9641857/

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