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Analysis of US National Research Council’s Persistent Forecasting System of Disruptive Technologies

Zhang Xiaolin

Strategic Study of CAE 2018, Volume 20, Issue 6,   Pages 117-121 doi: 10.15302/J-SSCAE-2018.06.019

Abstract:

The National Research Council’s (NRC) report on Persistent Forecastingof Disruptive Technologies analyzes the key issues of disruptive technology forecasting and proposesan ideal persistent forecasting system model.On this basis, the paper summarizes the connotation and challenges of disruptive technology forecasting, presents the attributes of the ideal persistent forecasting system, and analyzes the system model and

Keywords： disruptive technologies     persistent forecasting     ideal forecasting system    

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Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 533-542 doi: 10.1007/s11783-010-0246-6

Abstract: An ideal forecasting system would incorporate user-end information.The weather forecasting system should include user interaction because user needs may change with differentA study was conducted on the conceptual forecasting system that included a dynamic, user-oriented interactivesystem with reservoir managers in Linyi City, Shandong Province, a region rich in rivers and reservoirsA self-improving forecast system was developed involving user feedback throughout a flood season, changing

Keywords： user-end information     user-oriented     interactive forecasting system     TIGGE (THORPEX interactive grand global    

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A novel methodology for forecasting gas supply reliability of natural gas pipeline systems

Feng CHEN, Changchun WU

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 213-223 doi: 10.1007/s11708-020-0672-5

Abstract: The result of the gas pipeline system calculated is the average gas supply reliability in each typicalTo verify the feasibility, the method proposed is applied for a real natural gas pipelines network system

Keywords： natural gas pipeline system     gas supply reliability     evaluation index     Monte Carlo method     hydraulic simulation    

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Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing

Tao HUANG, Ying-lei TENG, Meng-ting LIU, Jiang LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 1-11 doi: 10.1631/FITEE.1400129

Abstract: In this case, how to analyze system capacity to obtain a closed-form expression becomes a crucial problem

Keywords： Cognitive heterogeneous networks     Markov chain     Stochastic geometry     Homogeneous Poisson point process (HPPP)    

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: To take full advantage of the environmental benefits of wind energy, wind power forecasting has to bePower forecasting for regional wind farm groups is the problem that many power system operators care

Keywords： regional wind power forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal component    

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heterogeneous-azeotropic distillation and hydrophilic pervaporation for enhanced separation of non-ideal

Eniko Haaz, Botond Szilagyi, Daniel Fozer, Andras Jozsef Toth

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 5,   Pages 913-927 doi: 10.1007/s11705-019-1877-1

Abstract: The separation of non-ideal mixtures using distillation can be an extremely complex process and thereheterogeneous-azeotropic distillation (EHAD) and hydrophilic pervaporation (HPV) for the separation of non-idealwas found to be more efficient than conventional distillation for the separation of these highly non-ideal

Keywords： hydrophilic pervaporation     non-ideal mixture     modelling     extractive heterogeneous-azeotropic distillation    

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A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 187-223 doi: 10.1007/s11708-021-0722-7

Abstract: Solar forecasting plays a vital role in smooth operation, scheduling, and balancing of electricity productionNumerous models and techniques have been developed in short, mid and long-term solar forecasting.This paper analyzes some of the potential solar forecasting models based on various methodologies discussed

Keywords： forecasting techniques     hybrid models     neural network     solar forecasting     error metric     support vector machine    

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A new approach for analyzing the effect of non-ideal power supply on a constant current underwater cabledsystem Personal View

Yu-jia ZANG, Yan-hu CHEN, Can-jun YANG, De-jun LI, Ze-jian CHEN, Gul MUHAMMAD

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 604-614 doi: 10.1631/FITEE.1800737

Abstract: The effect of a constant current (CC) power supply on the CC ocean observation system is a problem thatThe dynamic characteristics of the CC power supply may have great influence on the whole system, especiallyAn equivalent model to describe the non-ideal CC power supply is presented, through which the dynamicTo verify the feasibility of this model, a minimum system of a single node in the CC ocean observationsystem is constructed, from which the model is derived.

Keywords： Non-ideal power supply     Constant current input     Ocean observation system    

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Key stakeholders’ perspectives on the ideal partnering culture in construction projects

Gunnar J. LÜHR, Marian G. C. BOSCH-REKVELDT, Mladen RADUJKOVIC

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 312-325 doi: 10.1007/s42524-020-0135-z

Abstract: examines the current state of project cultures in the German turnkey construction industry and the idealTo investigate the current and ideal cultures, data were gathered among the key stakeholders by meansDefining both the current and an ideal partnering project culture enables academics and project managersto compare their actual project cultures to an ideal situation.

Keywords： project culture     organisational culture     partnering     construction culture     stakeholder perspectives     German    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networksPrice forecasting is very important for online trading, e-commerce and power system operation.data for the electricity price forecasting tool.The data used for this price forecasting is obtained from the PJM website.forecasting approach.

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving    

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Forecasting industrial emissions: a monetary approach

Yang DONG, Yi LIU, Jining CHEN, Yebin DONG, Benliang QU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 5,   Pages 734-742 doi: 10.1007/s11783-012-0451-6

Abstract: Forecasts of industrial emissions provide a basis for impact assessment and development planning. To date, most studies have assumed that industrial emissions are simply coupled to production value at a given stage of technical progress. It has been argued that the monetary method tends to overestimate pollution loads because it is highly influenced by market prices and fails to address spatial development schemes. This article develops a land use-based environmental performance index (L-EPI) that treats the industrial land areas as a dependent variable for pollution emissions. The basic assumption of the method is that at a planning level, industrial land use change can represent the change in industrial structure and production yield. This physical metric provides a connection between the state-of-the-art and potential impacts of future development and thus avoids the intrinsic pitfalls of the industrial Gross Domestic Product-based approach. Both methods were applied to examine future industrial emissions at the planning area of Dalian Municipality, North-west China, under a development scheme provided by the urban master plan. The results suggested that the L-EPI method is highly reliable and applicable for the estimation and explanation of the spatial variation associated with industrial emissions.

Keywords： industrial emissions     environmental performance index     spatial planning     industrial land use    

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 30-35

Abstract: synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligent forecastingamount of training samples, and gets relative membership degree matrix according to the correlation of forecastingfactors and forecasting objective, then takes the matrix as input of BP neural network to train link-weights, and finally, uses gained link-weight values to verify forecasting.results are highly promising and show that the operation speed, precision and stability of intelligent forecasting

Keywords： fuzzy optimal selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and longterm intelligent hydrological forecasting    

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Research on Nonlinear Combination Forecasting Approach Based on BP-AGA

Wang Shuo,Zhang Youfu,Jin Juliang

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 83-87

Abstract:

A nonlinear combination forecasting model was established by using neural network and acceleratingExamples were presented finally, as a result, the forecasting precision high in evidence.

Keywords： neural network     accelerating genetic algorithm     nonlinear combination forecasting     forecasting precision    

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A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   Pages 329-346 doi: 10.1007/s11709-022-0801-9

Abstract: CFA optimizer is augmented with chaotic maps and Lévy flight to improve the firefly performance in forecasting

Keywords： chloride penetrability     recycled aggregate concrete     machine learning     concrete components     durability    

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Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2,   Pages 177-187 doi: 10.15302/J-FASE-2017177

Abstract: To improve the accuracy of runoff forecasting, an uncertain multiple linear regression (UMLR) model isThe developed system, in which the UMLR model for runoff forecasting and the ITSP model for crop plantingThe aim of the developed system is to optimize crops planting area with limited available water resourcesbase on the downstream runoff forecasting in order to obtain the maximum system benefit in the futureThe solution obtained can demonstrate the feasibility and suitability of the developed system, and help

Keywords： crop planting structure optimization     inexact two-stage stochastic programming     runoff forecasting     Shiyang    

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Title Author Date Type Operation

Analysis of US National Research Council’s Persistent Forecasting System of Disruptive Technologies

Zhang Xiaolin

Journal Article

Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Journal Article

A novel methodology for forecasting gas supply reliability of natural gas pipeline systems

Feng CHEN, Changchun WU

Journal Article

Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing

Tao HUANG, Ying-lei TENG, Meng-ting LIU, Jiang LIU

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

heterogeneous-azeotropic distillation and hydrophilic pervaporation for enhanced separation of non-ideal

Eniko Haaz, Botond Szilagyi, Daniel Fozer, Andras Jozsef Toth

Journal Article

A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Journal Article

A new approach for analyzing the effect of non-ideal power supply on a constant current underwater cabledsystem

Yu-jia ZANG, Yan-hu CHEN, Can-jun YANG, De-jun LI, Ze-jian CHEN, Gul MUHAMMAD

Journal Article

Key stakeholders’ perspectives on the ideal partnering culture in construction projects

Gunnar J. LÜHR, Marian G. C. BOSCH-REKVELDT, Mladen RADUJKOVIC

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Forecasting industrial emissions: a monetary approach

Yang DONG, Yi LIU, Jining CHEN, Yebin DONG, Benliang QU

Journal Article

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

Research on Nonlinear Combination Forecasting Approach Based on BP-AGA

Wang Shuo,Zhang Youfu,Jin Juliang

Journal Article

A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Journal Article

Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Journal Article