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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: ForeCasting Demand For Waterpump
Authors Name: Hemanth Jasti
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IJRTI_201848
Published Paper Id: IJRTI2505068
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: Efficient water pump management is critical for ensuring a steady and reliable water supply, especially in regions where demand fluctuates due to environmental, agricultural, and industrial factors. Our project focuses on developing a demand forecasting model for water pumps, using historical data and predictive analytics. By analyzing key variables such as weather patterns, population growth, and seasonal demand variations, the model aims to provide accurate short- and long-term forecasts. Various machine learning algorithms, including time series analysis and regression models, are employed to enhance prediction accuracy. The implementation of this model can help optimize resource allocation, reduce operational costs, and improve water pump distribution planning. Results indicate that the forecasting model offers significant improvements in predicting demand trends, contributing to more efficient water resource management.
Keywords: Water pump management, demand forecasting, predictive analytics, machine learning, time series analysis, regression models, weather patterns, population growth.
Cite Article: "ForeCasting Demand For Waterpump", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a585-a589, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505068.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505068
Registration ID:201848
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a585-a589
Country: bengaluru, Karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505068
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505068
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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