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Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.113811
Abstract: Abstract The demand for local heat storage to help manage energy demand in dwellings is likely to increase as the electrification of heat through heat pumps becomes more widespread. Sizing thermal energy storage systems has…
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Keywords:
storage;
load shifting;
energy storage;
heat ... See more keywords
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Published in 2017 at "Scientific Data"
DOI: 10.1038/sdata.2016.122
Abstract: Smart meter roll-outs provide easy access to granular meter measurements, enabling advanced energy services, ranging from demand response measures, tailored energy feedback and smart home/building automation. To design such services, train and validate models, access…
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Keywords:
electrical load;
load measurements;
measurements dataset;
united kingdom ... See more keywords
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Published in 2020 at "Electric Power Components and Systems"
DOI: 10.1080/15325008.2020.1834019
Abstract: Abstract Building energy consumption accounts for a large fraction of the total global energy usage, and considerable energy savings are expected to be achieved in this respect through residential electrical load monitoring. Due to the…
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Keywords:
load monitoring;
residential electrical;
monitoring;
electrical load ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3057722
Abstract: Most cluster identification studies regarding consumer electricity load is faced with problems of erroneous clustering method similarity, low clustering quality and poor identification accuracy. To solve these problems, this paper utilizes the elbow method, k-…
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Keywords:
gcn identification;
identification method;
load;
identification ... See more keywords
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Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3158387
Abstract: Accurate short-term load forecasting (STLF) is required for reliable power system operations. Nevertheless, load forecasting remains a challenge owing to the high dimensionality and volatility of electrical load data as time series. In this study,…
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Keywords:
load forecasting;
feature extraction;
electrical load;
load ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6892995
Abstract: Daily peak load forecasting (DPLF) and total daily load forecasting (TDLF) are essential for optimal power system operation from one day to one week later. This study develops a Cubist-based incremental learning model to perform…
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Keywords:
interpretable short;
load forecasting;
electrical load;
model ... See more keywords
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Published in 2021 at "Energies"
DOI: 10.3390/en14123591
Abstract: Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of renewable energy…
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Keywords:
system;
load prediction;
approach;
prediction ... See more keywords
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Published in 2023 at "Energies"
DOI: 10.3390/en16104110
Abstract: In recent years, electrical systems have evolved, creating uncertainties in short-term economic dispatch programming due to demand fluctuations from self-generating companies. This paper proposes a flexible Machine Learning (ML) approach to address electrical load forecasting…
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Keywords:
methodology;
fuzzy artmap;
load forecasting;
electrical load ... See more keywords
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Published in 2020 at "International Journal of Engineering Research in Africa"
DOI: 10.4028/www.scientific.net/jera.51.79
Abstract: The Port of Durban (PoD) is currently upgrading its existing power supply to a supply voltage of 132 kV. The existing 33 kV supply cables are old and have exceeded their designed life resulting in…
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Keywords:
port durban;
substation;
load flow;
load ... See more keywords