Smart City Gnosys

Smart city article details

Title	System For Water And Electricity Consumption Prediction In Smart Cities Using Ml
ID_Doc	54287
Authors	Zhakiyev N.; Omirgaliyev R.; Bapiyev I.; Baisakalova N.; Tankeyev S.
Year	2023
Published	SIST 2023 - 2023 IEEE International Conference on Smart Information Systems and Technologies, Proceedings
DOI	http://dx.doi.org/10.1109/SIST58284.2023.10223522
Abstract	The issue of finding new solutions for efficient water and electricity consumption is urgent for Smart Cities. Such solutions include the use of various machine learning models to predict the consumption of these resources. In this research paper, time series models for predicting electricity consumption, Decision tree, and Random Forest models for predicting water consumption were developed. There has also been a growing increase in the use of smart sensors to be able to track and manage water data, which in turn contributes to smart resource management. © 2023 IEEE.
Author Keywords	decision tree; electricity consumption; machine learning; prediction; time series; water consumption

Similar Articles

Id	Similarity	Authors	Title	Published
40687	0.913	Akhayeva Z.B.; Zakirova A.B.; Zhmud V.A.	Optimization Of Water Resources Management Using Big Data And Machine Learning In Smart Cities	Eurasian Journal of Mathematical and Computer Applications, 12, 2 (2024)
26858	0.878	Dong C.; Du L.; Ji F.; Song Z.; Zheng Y.; Howard A.; Intrevado P.; Woodbridge D.	Forecasting Smart Meter Energy Usage Using Distributed Systems And Machine Learning	Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 (2019)
26355	0.873	El Hanjri M.; Kabbaj H.; Kobbane A.; Abouaomar A.	Federated Learning For Water Consumption Forecasting In Smart Cities	IEEE International Conference on Communications, 2023-May (2023)
9463	0.869	Singh T.; Solanki A.; Sharma S.K.	Analytical Study Of Machine Learning Techniques On The Smart Home Energy Consumption	AIP Conference Proceedings, 2938, 1 (2023)
31861	0.867	Šulyová D.; Kubina M.	Integrated Management Of Limited Water Resources In Smart Cities	IOP Conference Series: Earth and Environmental Science, 1077, 1 (2022)
36058	0.864	Wang L.; El-Gohary N.M.	Machine Learning-Based Prediction Of Building Water Consumption For Improving Building Water Efficiency	Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 (2019)
36056	0.861	Tiwari S.; Jain A.; Ahmed N.M.O.S.; Charu; Alkwai L.M.; Dafhalla A.K.Y.; Hamad S.A.S.	Machine Learning-Based Model For Prediction Of Power Consumption In Smart Grid- Smart Way Towards Smart City	Expert Systems, 39, 5 (2022)
8777	0.86	Rojek I.; Mikołajewski D.; Dorożyński J.; Dostatni E.; Mreła A.	An Ml-Based Solution In The Transformation Towards A Sustainable Smart City	Applied Sciences (Switzerland), 14, 18 (2024)
42825	0.86	Yoon G.; Park S.; Park S.; Lee T.; Kim S.; Jang H.; Lee S.; Park S.	Prediction Of Machine Learning Base For Efficient Use Of Energy Infrastructure In Smart City	Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019 (2019)
61566	0.859	Brahim G.B.	Weather Conditions Impact On Electricity Consumption In Smart Homes: Machine Learning Based Prediction Model	2021 8th International Conference on Electrical and Electronics Engineering, ICEEE 2021 (2021)