Articles with "input variables" as a keyword



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Input variable selection for thermal load predictive models of commercial buildings

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Published in 2017 at "Energy and Buildings"

DOI: 10.1016/j.enbuild.2016.12.016

Abstract: Abstract Forecasting of commercial building thermal loads can be achieved using data from Building Energy Management (BEM) systems. Experience in building load prediction using historical data has shown that data analysis is a key factor… read more here.

Keywords: input variables; selection; bem systems; predictive models ... See more keywords
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Selecting the appropriate input variables in a regression approach to estimate actively generated muscle moments around L5/S1 for exoskeleton control.

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Published in 2020 at "Journal of biomechanics"

DOI: 10.1016/j.jbiomech.2020.109650

Abstract: Back support exoskeletons are designed to prevent work-related low-back pain by reducing mechanical loading. For actuated exoskeletons, support based on moments actively produced by the trunk muscles appears a viable approach. The moment can be… read more here.

Keywords: input variables; estimate actively; muscle; moments around ... See more keywords
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PD25 Principal Component Approximation: Medical Expenditure Panel Survey

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Published in 2018 at "International Journal of Technology Assessment in Health Care"

DOI: 10.1017/s0266462318003008

Abstract: Introduction: Principal component analysis (PCA) is important to summarize data or reduce dimensionality. However, one disadvantage of using PCA is the interpretability of the principal components (PCs), especially in a high-dimensional database. This study aims… read more here.

Keywords: medical expenditure; input variables; data sets; principal component ... See more keywords
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Unlocking the power of machine learning for Earth system modeling: A gameā€changing breakthrough

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Published in 2023 at "Global Change Biology"

DOI: 10.1111/gcb.16696

Abstract: Artificial intelligence (AI) technology has been rapidly reshaping all aspects of our lives since the 1990s. The recent release of ChatGPT in November 2022 represents one of the biggest advancements in AI since AlphaGo won… read more here.

Keywords: system; input variables; earth system; power ... See more keywords
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Denoising MAX6675 reading using Kalman filter and factorial design

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Published in 2021 at "International Journal of Electrical and Computer Engineering"

DOI: 10.11591/ijece.v11i5.pp3818-3827

Abstract: This paper aims to tune the Kalman filter (KF) input variables, namely measurement error and process noise, based on two-level factorial design. Kalman filter then was applied in inexpensive temperature-acquisition utilizing MAX6675 and K-type thermocouple… read more here.

Keywords: combination; kalman filter; input variables; factorial design ... See more keywords

Using Random Forests to Select Optimal Input Variables for Short-Term Wind Speed Forecasting Models

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Published in 2017 at "Energies"

DOI: 10.3390/en10101522

Abstract: Achieving relatively high-accuracy short-term wind speed forecasting estimates is a precondition for the construction and grid-connected operation of wind power forecasting systems for wind farms. Currently, most research is focused on the structure of forecasting… read more here.

Keywords: input variables; speed forecasting; wind speed; forecasting ... See more keywords
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A Method for Prediction of Waterlogging Economic Losses in a Subway Station Project

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Published in 2021 at "Mathematics"

DOI: 10.3390/math9121421

Abstract: In order to effectively solve the problems of low prediction accuracy and calculation efficiency of existing methods for estimating economic loss in a subway station engineering project due to rainstorm flooding, a new intelligent prediction… read more here.

Keywords: input variables; project; subway station; method ... See more keywords
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A new rank sensitivity metric for decision support

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Published in 2019 at "Statistics and Its Interface"

DOI: 10.4310/sii.2019.v12.n4.a7

Abstract: Assessing the change in the relative performance of competing systems across a factor space generated by a combination of input variables is a common problem in decision making. We propose a new metric to assess… read more here.

Keywords: decision support; input variables; metric decision; sensitivity ... See more keywords