A Cohesive Machine Learning-Based Model for Energy Consumption Prediction in Smart Homes
Author:
Affiliation:
1. University of Central Asia,Department of Computer Science,Naryn,Kyrgyzstan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9989539/9990040/09990270.pdf?arnumber=9990270
Reference12 articles.
1. Experimenting XGBoost algorithm for prediction and classification of different datasets;ramraj;Journal of Control Theory and Applications,2016
2. A Framework for Prediction of Household Energy Consumption Using Feed Forward Back Propagation Neural Network
3. A deep learning framework for building energy consumption forecast;nivethitha;Renewable and sustainable Energy Review,2021
4. Stock price prediction using k-nearest neighbor (kNN) algorithm;khalid;International Journal of Business Humanities and Technology,2013
5. A data-driven approach for steam load prediction in buildings
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1. An Advanced Artificial Intelligence-Driven Smart Home Towards Ontology-Based Energy Efficiency Management System;Lecture Notes in Networks and Systems;2024
2. Supervised Machine Learning Techniques for Power Consumption Usage Level Prediction;2023 6th International Conference on Software Engineering and Computer Science (CSECS);2023-12-22
3. Energy Consumption Prediction Using Machine Learning Algorithms;2023 IEEE Pune Section International Conference (PuneCon);2023-12-14
4. Comparative Analysis of Machine Learning Models for Energy Consumption Prediction in Residential Buildings;2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom);2023-12-07
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