Results 31 to 40 of about 453,955 (199)
Frontiers in Energy Research, 2022 Currently, traditional electricity consumers are now shifting to a new role of prosumers since more integration of renewable energy to demand side. Accurate short-term load demand forecasting is significant to safe, stable, and reliable operation of a ...
Jiying Wen +3 more
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IET Generation, Transmission & Distribution, 2021 Short‐term load forecasting is essential to power systems management. However, most existing forecasting methods fail to fully consider how to rationally integrate the intrinsic time‐related dimensions of electric load data and the decomposition methods ...
Jiehui Huang +4 more
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Benchmarking physics-informed machine learning-based short term PV-power forecasting tools
Energy Reports, 2022 Uncertainty is one of the core challenges posed by renewable energy integration in power systems, especially for solar photovoltaic (PV), given its dependence on meteorological phenomena.
Daniel Vázquez Pombo +5 more
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Spatial‐temporal learning structure for short‐term load forecasting
IET Generation, Transmission & Distribution, 2023 In the power system operational/planning studies, it is a crucial task to provide the load consumption information in the look‐ahead times. The huge variation of the power system infrastructure in recent years has led to significant changes in the ...
Mahtab Ganjouri +3 more
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Short Term Inflation Forecasting: The M.E.T.A. Approach [PDF]
SSRN Electronic Journal, 2015 Abstract Forecasting inflation is an important and challenging task. This paper assumes that the core inflation components evolve as a multivariate local level process. While this model is theoretically attractive for modelling inflation dynamics, its usage thus far has been limited, owing to computational complications with the conventional ...
Giacomo Sbrana +2 more
openaire +1 more source
Short-Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks [PDF]
, 2018 Short-term Quantitative Precipitation Forecasting is important for flood forecasting, early flood warning, and natural hazard management. This study proposes a precipitation forecast model by extrapolating Cloud-Top Brightness Temperature (CTBT) using ...
Akbari Asanjan, A +5 more
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Short term electricity load forecasting for institutional buildings
Energy Reports, 2019 Peak load demand forecasting is important in building unit sectors, as climate change, technological development, and energy policies are causing an increase in peak demand. Thus, accurate peak load forecasting is a critical role in preventing a blackout
Yunsun Kim, Heung-gu Son, Sahm Kim
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SHORT TERM FORECASTING OF SULFATE CONCENTRATIONS IN BAGHDAD
Journal of Engineering, 2008 Water quality control is an important protection issue. The analysis of the water quality parameters and the prediction of their changes in future, are important in the planning for water pollution control program.
Rafa H. Al-Suhaili +1 more
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Comparison methods of short term electrical load forecasting
MATEC Web of Conferences, 2018 The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
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Exploiting road traffic data for very short term load forecasting in smart grids [PDF]
, 2014 If accurate short term prediction of electricity consumption is available, the Smart Grid infrastructure can rapidly and reliably react to changing conditions.
Aparicio, J +5 more
core +1 more source