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Published in 2018 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2018.01.066
Abstract: Abstract This paper depicted the novel data mining based methods that consist of six models for predicting accurate future heating and cooling load demand of water source heat pump, with the objective of enhancing the…
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Keywords:
data mining;
mining;
error;
building environment ... See more keywords
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Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2019.06.012
Abstract: Abstract Despite the potential benefits of the Homogenous Charge Compression Ignition (HCCI) engines, controlling the combustion phasing and emissions are the main obstacles in its development but, in conventional engines the load demand is simply…
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Keywords:
load demand;
combustion phasing;
engine;
hcci engine ... See more keywords
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Published in 2017 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2017.01.011
Abstract: Abstract The uncertainty sources of the intermittent generation and load demand as well as transmission line unavailability threaten the security of power systems. In this paper, to treat these uncertainties, a new stochastic optimal power…
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Keywords:
uncertainty sources;
security;
power;
model ... See more keywords
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Published in 2017 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2016.2561258
Abstract: This paper proposes a new grid frequency regulation (GFR) scheme using behind-the-meter battery energy storage systems (BESSs). The fast dynamic responses of the electrical BESSs enable buildings to compensate for the high-frequency components of load…
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Keywords:
using behind;
behind meter;
frequency;
frequency regulation ... See more keywords
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Published in 2017 at "International Journal on Advanced Science, Engineering and Information Technology"
DOI: 10.18517/ijaseit.7.5.2278
Abstract: As Malaysia moves forward as a developed country, it is expected that electricity consumption will be increased when the economy, population and industry are growing. Therefore, this paper presents an analysis on the Macro-Factors such…
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Keywords:
macro factor;
load demand;
electricity load;
demand ... See more keywords
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Published in 2023 at "Energies"
DOI: 10.3390/en16093636
Abstract: The need for and interest in very-short-term load forecasting (VSTLF) is increasing and important for goals such as energy pricing markets. There is greater challenge in predicting load consumption for residential-load-type data, which is highly…
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Keywords:
network;
load demand;
load;
residential load ... See more keywords