Residential Energy Demand Prediction Algorithm Based on Data-Driven Conditional Hidden Markov Model
Author:
Affiliation:
1. Wuhan University of Science and Technology,School of Information Science and Engineering,Wuhan,China
2. Wuhan Netizen Technology Co., Ltd,Research Center,Wuhan,China
3. Shenglong Electric Group Co., Ltd,Research Center,Wuhan,China
Funder
Nature
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10588148.pdf?arnumber=10588148
Reference15 articles.
1. Optimal load scheduling of household appliances considering consumer preferences: An experimental analysis
2. Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
3. Optimal Real-Time Pricing Algorithm Based on Utility Maximization for Smart Grid
4. Effective factors for residential building energy modeling using feature engineering
5. Incentive-based demand response for smart grid with reinforcement learning and deep neural network
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