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Future of Russia: Macroeconomic Scenarios in the Global Context
The recent global crisis has “devalued” many pre-crisis forecasts and strategies, including those in Russia. This fostered the redesigning of science, technology and innovation (STI) policy frameworks to adjust the scope and priorities of STI funding ...
Elena Abramova +5 more
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Applying Technology Roadmapping to Exploratory Forecasting
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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With the rapid development of smart grids and distributed energy sources, the home energy management system (HEMS) is becoming a hot topic of research as a hub for connecting customers and utilities for energy visualization.
Ping Ma +4 more
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Fuzzy Models for Short Term Power Forecasting in Palestine
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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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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Short Term Inflation Forecasting: The M.E.T.A. Approach [PDF]
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
Assessing and Comparing Short Term Load Forecasting Performance
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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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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Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid [PDF]
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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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
doaj +1 more source

