Results 21 to 30 of about 95,141 (307)

Applying Technology Roadmapping to Exploratory Forecasting

open access: yesForesight 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
doaj   +1 more source

Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid [PDF]

open access: yesОмский 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
doaj   +1 more source

Short Term Inflation Forecasting: The M.E.T.A. Approach [PDF]

open access: yesSSRN 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

Long-Term Science and Technology Forecasting: Methodologies, Future Visions, Scenarios of Development

open access: yesForesight 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
doaj   +1 more source

Assessing and Comparing Short Term Load Forecasting Performance

open access: yesEnergies, 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
doaj   +1 more source

Fuzzy Models for Short Term Power Forecasting in Palestine

open access: yesQubahan 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
doaj   +1 more source

Short‐term traffic travel time forecasting using ensemble approach based on long short‐term memory networks

open access: yesIET 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
doaj   +1 more source

Accurate Deep Model for Electricity Consumption Forecasting Using Multi-Channel and Multi-Scale Feature Fusion CNN–LSTM

open access: yesEnergies, 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
doaj   +1 more source

Research on Long Short-Term Decision-Making System for Excavator Market Demand Forecasting Based on Improved Support Vector Machine

open access: yesApplied Sciences, 2021
Future demand forecasting of the excavators is of great significance to guide the supply and marketing plan. For a long time, market forecasting of the construction machinery is regarded as short-term forecasting, which lacks the analysis of macro ...
Bin Zhang   +6 more
doaj   +1 more source

Development of deep learning predictive models for short-term solar radiation forecasting: case study in Vietnam [PDF]

open access: yes, 2020
Vietnam is a developing country with a projected high economic growth. The energy sector plays an essential role in its socio-economic development, with an average of 5% increase in annual energy demands.
Huynh, Anh Ngoc Lan
core   +1 more source

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