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Published in 2018 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2017.10.041
Abstract: Abstract Accurate energy modelling is a critical step in the measurement and verification (M&V) of energy savings, as a model for consumption in the baseline period is required. Machine learning (ML) algorithms offer an alternative…
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Keywords:
machine learning;
energy savings;
energy;
verification energy ... See more keywords
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Published in 2017 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v8.i1.pp137-145
Abstract: This paper presents a Hybrid Artificial Neural Network (HANN) for chiller system Measurement and Verification (M&V) model development. In this work, hybridization of Evolutionary Programming (EP) and Artificial Neural Network (ANN) are considered in modeling…
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Keywords:
energy;
artificial neural;
measurement verification;
hybrid artificial ... See more keywords
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Published in 2021 at "Energies"
DOI: 10.3390/en14051481
Abstract: As new grid edge technologies emerge—such as rooftop solar panels, battery storage, and controllable water heaters—quantifying the uncertainties of building load forecasts is becoming more critical. The recent adoption of smart meter infrastructures provided new…
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Keywords:
smart meter;
probabilistic forecasting;
forecasting residential;
model ... See more keywords
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Published in 2020 at "South African Journal of Industrial Engineering"
DOI: 10.7166/31-3-2418
Abstract: Budgets are used to predict and measure a mine’s performance. Problems arise when the budget is developed by financial resources with little focus on operational changes. The implementation of energy-saving measures, and the number of…
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Keywords:
improved energy;
verification principles;
measurement verification;
budget ... See more keywords