Using Occupant's Data for Electricity Load Prediction based on Machine Learning
Author:
Affiliation:
1. DEWA R&D Center, Dubai Electricity and Water Authority,Dubai,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9741750/9741857/09742156.pdf?arnumber=9742156
Reference15 articles.
1. A review on the prediction of building energy consumption
2. Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case
3. A Review of Deep Learning Methods Applied on Load Forecasting
4. Forecasting the annual electricity consumption of Turkey using an optimized grey model
5. Forecasting the annual electricity consumption of Turkey using a hybrid model
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1. Short-term Electricity Load Prediction Based on Machine Learning and Improved LSTM Model;2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT);2023-07-21
2. Analysis of residential electricity consumption patterns utilizing smart-meter data: Dubai as a case study;Energy and Buildings;2023-07
3. Understanding Energy Behavioral Changes Due to COVID-19 in the Residents of Dubai Using Electricity Consumption Data and Their Impacts;Energies;2022-12-27
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