Results 21 to 30 of about 49,545 (260)
Applying Technology Roadmapping to Exploratory Forecasting
Foresight and STI Governance, 2012 Technology roadmaps are typically used in terms of normative approach to long-term S&T forecasting thus serving as a visual tool to identify optimal ways to reach defined future goals.
Dmitry Belousov +2 more
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Fuzzy Models for Short Term Power Forecasting in Palestine
Qubahan Academic Journal, 2023 Short-Term Load Forecasting (STLF) is needed to efficiently manage the power systems. In this paper, two kinds of models that depend on the Fuzzy based techniques are developed to represent the STLF models in Palestine.
Raed Basbous
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Foresight and STI Governance, 2008 The paper considers methodological aspects of long-term technology forecasting with reference to modern economical development of Russia. It describes a matrix of long-term scenarios of technological development of Russia based either on primary-energy ...
Dmitry Belousov, Igor Frolov
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Assessing and Comparing Short Term Load Forecasting Performance
Energies, 2020 When identifying and comparing forecasting models, there may be a risk that poorly selected criteria could lead to wrong conclusions. Thus, it is important to know how sensitive the results are to the selection of criteria.
Pekka Koponen +4 more
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IET Intelligent Transport Systems, 2023 To enhance the control effect of intelligent transportation system (ITS) of expressway, avoid blind travel causing traffic congestion, improve road capacity, and achieve the purpose of smooth and efficient operation of the network, 3σ criterion and 2σ ...
Xingli Jia +4 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
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Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid [PDF]
Омский научный вестник, 2021 The article is devoted to the problem of improving the accuracy of short-term load forecasting of electrical engineering complex of regional electric grid with the use deep machine learning tools.
N. A. Serebryakov
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Energies, 2020 Electricity consumption forecasting is a vital task for smart grid building regarding the supply and demand of electric power. Many pieces of research focused on the factors of weather, holidays, and temperatures for electricity forecasting that requires
Xiaorui Shao +2 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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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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