Arima Approach For Forecasting Temperature In A Residential Premises Part 2

Zaharieva, Snezhinka; Georgiev, Ivan; Mutkov, Valentin; Neikov, Yavor

doi:10.1109/infoteh51037.2021.9400674

Cited by 16 publications

(2 citation statements)

References 4 publications

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“…Various methods can be used to predict parameters, as detailed in [8], [9], [10]. Although each methodology has its advantages and limitations, the studies in references [11], [12] provide valuable insights into different approaches to parameter estimation.…”

Section: Theoretical Justificationmentioning

confidence: 99%

A Modified Approach for Forecasting Relative Humidity in Indoor Premises

Zaharieva,

Georgiev,

Stoev

et al. 2023

TEM Journal

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In order to forecast certain microclimatic parameters in a room, such as relative humidity, it is necessary to collect a large amount of data. For this reason, an electronic system for providing comfortable conditions in a room has been developed, which is based on the becoming largely popular Internet of Things (IoT) technology. On the basis of the obtained data, the future change of the relative humidity in a room can be forecasted, which aims to ensure the health and well-being of its inhabitants. It should be noted that working with large datasets requires more sophisticated methods for prediction, and for this reason, this paper presents results obtained from a modified ordinary differential equation approach for forecasting relative humidity. For the purposes of the study, a program code was developed in Matlab. The resulting predicted relative humidity values are comparable to actual measured values, which would help to improve indoor air quality and provide thermal comfort to occupants.

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Section: Theoretical Justificationmentioning

confidence: 99%

A Modified Approach for Forecasting Relative Humidity in Indoor Premises

Zaharieva,

Georgiev,

Stoev

et al. 2023

TEM Journal

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“…W HEN it comes to decision making, the reliability of the large-scale mathematical models is questioned [9], [10], [8], [18]. To improve the reliability, the sensitivity of model outputs to variations of model inputs due to natural variability is studied and analyzed.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Technique for Estimating Sobol Sensitivity Indices

Todorov¹,

Georgiev²

2022

Communication Papers of the 17th Conference on Computer Science and Intelligence Systems

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In this paper we proposed an optimization technique for improving the Monte Carlo approaches based on Halton and Sobol algorithms. The proposed technique is novel in the sense that the optimization of the Halton and Sobol sequences is applied for the first time and essentially improves the results by the original sequences. The results will be of great importance for the environment protection and the trustability of forecasts.

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Highly Accurate Scrambled Stochastic Approaches for Multidimensional Sensitivity Analysis in Air Pollution Modeling

Todorov

Georgiev

2023

Springer Proceedings in Mathematics &Amp; Statistics

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Arima Approach For Forecasting Temperature In A Residential Premises Part 2

Cited by 16 publications

References 4 publications

A Modified Approach for Forecasting Relative Humidity in Indoor Premises

A Modified Approach for Forecasting Relative Humidity in Indoor Premises

An Optimization Technique for Estimating Sobol Sensitivity Indices

Highly Accurate Scrambled Stochastic Approaches for Multidimensional Sensitivity Analysis in Air Pollution Modeling

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