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Forecasting Methods in Various Applications Using Algorithm of Estimation Regression Models and Converting Data Sets into Markov Model

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  • Mohammed M. El Genidy
  • Mokhtar S. Beheary

Abstract

Water quality control helps in the estimation of water bodies and detects the span of pollutants and their effect on the neighboring environment. This is why the water quality of the northern part of Lake Manzala has been studied here from January to March, 2016. This study aims to model and create a program for linear and nonlinear regression of the water elements in Lake Manzala to assess and predict the water quality. Water samples have been extracted from various depths, and physio‐chemical properties and heavy metal concentrations have been evaluated. This study has proposed a new algorithm for predicting water quality called “Algorithm of Estimation Regression Model” (AERM). On the contrary, in renewable energy applications, statistical modeling and forecasting the solar radiation remains a significant issue with detect to reinforce power management. A new proposed method for forecasting the average Monthly Global Solar Energy (MGSE) in Queensland, Australia, is called, Converting Data Set into Markov Model (CDMM). It was used to obtain Markov transition probability matrices for three and six states of the solar energy. The proposed forecasting method yielded accurate results with minimal error.

Suggested Citation

  • Mohammed M. El Genidy & Mokhtar S. Beheary, 2022. "Forecasting Methods in Various Applications Using Algorithm of Estimation Regression Models and Converting Data Sets into Markov Model," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:2631939
    DOI: 10.1155/2022/2631939
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    1. Rizwan Niaz & Mohammed M. A. Almazah & Xiang Zhang & Ijaz Hussain & Muhammad Faisal & Alireza Amirteimoori, 2021. "Prediction for Various Drought Classes Using Spatiotemporal Categorical Sequences," Complexity, Hindawi, vol. 2021, pages 1-11, November.
    2. Rizwan Niaz & Xiang Zhang & Nouman Iqbal & Mohammed M.A. Almazah & Tajammal Hussain & Ijaz Hussain & Feng Li, 2021. "Logistic Regression Analysis for Spatial Patterns of Drought Persistence," Complexity, Hindawi, vol. 2021, pages 1-13, November.
    3. Muhammad Ali & Dost Muhammad Khan & Muhammad Aamir & Amjad Ali & Zubair Ahmad & A. Dionisio, 2021. "Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine," Complexity, Hindawi, vol. 2021, pages 1-13, December.
    4. Jiang, Long & Li, Yiping & Zhao, Xu & Tillotson, Martin R. & Wang, Wencai & Zhang, Shuangshuang & Sarpong, Linda & Asmaa, Qhtan & Pan, Baozhu, 2018. "Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China," Ecological Modelling, Elsevier, vol. 375(C), pages 1-12.
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