AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION

Arman Mohammad Nakib

doi:10.35784/iapgos.6106

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Published: Dec 21, 2024

DOI: https://doi.org/10.35784/iapgos.6106

Issue Vol. 14 No. 4 (2024)

Articles

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DIFFERENTIAL MUELLER-MATRIX MAPPING OF THE POLYCRYSTALLINE COMPONENT OF BIOLOGICAL TISSUES OF HUMAN ORGANS
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POLARIZATION SELECTOR ON WAVEGUIDES PARTIALLY FILLED BY DIELECTRIC
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FUNCTIONALLY INTEGRATED DEVICE FOR TEMPERATURE MEASUREMENT
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STUDY OF THE OZONE CONTROL PROCESS USING ELECTRONIC SENSORS
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OPTIMIZING WIND POWER PLANTS: COMPARATIVE ENHANCEMENT IN LOW WIND SPEED ENVIRONMENTS
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DSTATCOM-BASED 15 LEVEL ASYMMETRICAL MULTILEVEL INVERTER FOR IMPROVING POWER QUALITY
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COMPUTER SIMULATION OF A SUPERCONDUCTING TRANSFORMER SHORT-CIRCUIT
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INVESTIGATION OF CHANGES IN THE LEVEL OF NETWORK SECURITY BASED ON A COGNITIVE APPROACH
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THE UTILIZATION OF MACHINE LEARNING FOR NETWORK INTRUSION DETECTION SYSTEMS
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SYNCHRONIZATION OF EVENT-DRIVEN MANAGEMENT DURING DATA COLLECTION
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Julia Zachwatowicz, Oliwia Zioło, Mariusz Dzieńkowski

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AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION
Arman Mohammad Nakib

136-140
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141-145
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146-153
AFFORDABLE AUGMENTED REALITY FOR SPINE SURGERY: AN EMPIRICAL INVESTIGATION INTO IMPROVING VISUALIZATION AND SURGICAL ACCURACY
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154-163

DOI

https://doi.org/10.35784/iapgos.6106

Authors

Arman Mohammad Nakib

armannakib35@gmail.com

Nanjing University of Information Science & Technology, Artificial Intelligence, China

https://orcid.org/0009-0006-4986-8806

Abstract

Access to fresh water has become a headache for many nations around the world today due to water scarcity. Since this aspect is increasing, this paper introduces a system to estimate the households’ water needs in a day taking into consideration, the size of the family, zone, temperature, season, working status, location, and religion. By applying machine learning, the system determines the balance of water distribution between the families by these parameters. The predicted values determine the water requirements for each household hence the distribution of water in the households on a particular day. This includes the use of an Arduino microcontroller, water flow meter, and solenoid valves that make the water supply system to be an automatic system. As a result of this, the system helps to control the wastage of water and also ensures that the amount of water required in each home is assessed accurately.

Keywords:

factors influencing water consumption, machine learning model, water distribution control, water wastage control

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Nakib, A. M. (2024). AUTOMATED WATER MANAGEMENT SYSTEM WITH AI-BASED DE-MAND PREDICTION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(4), 136–140. https://doi.org/10.35784/iapgos.6106

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