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Ahead geological forecasting technology of Bieyancao Tunnel on Yichang-Wanzhou Railway

Ren Shaoqiang

Strategic Study of CAE 2010, Volume 12, Issue 8,   Pages 99-106

Abstract: This tunnel's geological condition is very complex especially the developed karst cave and undergroundIt is considered that serious geological disasters called "LiuMao"  phenomena are mostThe article introduced that with the help of comprehensive ahead geological forecasting ,this tunnelassured the safety and avoided the geological hazard accidents.It also summarizes the comprehensive geological prediction technology of risky tunnel based on the practice

Keywords: risky tunnel     Karst cave     underground river     comprehensive ahead geological forecasting    

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    

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    

New progress of Chinese rock engineering

Qian Qihu

Strategic Study of CAE 2010, Volume 12, Issue 8,   Pages 37-48

Abstract: high-cold high-altitude Fenghuo Mountain tunnel and Erlang Mountain tunnel are presented, as well as geological

Keywords: rock engineering     hydropower engineering     supporting technology     geological forecasting     anchoring technology    

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    

Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, doi: 10.1631/FITEE.17e0814

Adaptability to geological faulted foundation of Hardfill dam

XIONG Kun, HE Yunlong, PENG Yunfeng

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 343-349 doi: 10.1007/s11709-008-0057-z

Abstract: method (FEM), the stress distribution in a dam body and anti-sliding stabilization is analyzed on the geologicalIt is concluded that Hardfill dams have better adaptability to geological faulted foundations than gravity

Keywords: weathered     elastic     geological faulted     FEM     gravity    

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.community has begun to realize that while general improvements to the physical characteristics of weather forecastingThe 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 interactiveinteractive grand global ensemble) project in China, a case study that was conducted to test the new forecasting

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

Instrument Industry Needs to Develop Ahead of Time

Strategic Study of CAE 2002, Volume 4, Issue 10,   Pages 94-94

Rethinking of geological disaster control at the anniversary of the Wenchuan Earthquake

Lu Yaoru

Strategic Study of CAE 2009, Volume 11, Issue 6,   Pages 36-43

Abstract:

The big Wenchuan Earthquake has passed for a year, but the huge disaster caused by the earthquake cannot be forgotten yet. The scientific development view should be better carried out and the earthquake mechanism should be analyzed thoroughly, so that effective scientific reference can be provided for consideration of the prevention and reduction of future disaster.

Keywords: Wenchuan Earthquake     the earthquake history of Chuan-Dian area     geological disaster     earthquake mechanism    

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 forecastingFinally, the enlightenment of the research on disruptive technology forecasting is proposed, thus to

Keywords: disruptive technologies     persistent forecasting     ideal forecasting system    

CO, N, and CO/N mixed gas injection for enhanced shale gas recovery and CO geological storage

Frontiers in Energy 2023, Volume 17, Issue 3,   Pages 428-445 doi: 10.1007/s11708-023-0865-9

Abstract: investigate the performance of injecting different gases to enhance shale gas recovery and CO2 geological

Keywords: shale gas     gas injection     competitive adsorption     enhanced shale gas recovery     CO2 geological    

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    

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    

Discussion on some basic problems about environmental geology

Liu Guangrun

Strategic Study of CAE 2001, Volume 3, Issue 4,   Pages 27-30

Abstract:

This paper discusses mainly the definition of environmental geology and geological environment andtheir relationship to relevant subjects, and expounds the position of geological environment in thewhole natural environment of mankind and the importance of protecting geological environment in overallgeological hazards and the basic way to prevent and control geological hazards is operating along thesystem for geological environmental quality and capacity.

Keywords: environmental geology     geological environment     protection of geological environment     prevention and controlof geological hazards    

Title Author Date Type Operation

Ahead geological forecasting technology of Bieyancao Tunnel on Yichang-Wanzhou Railway

Ren Shaoqiang

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

A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Journal Article

New progress of Chinese rock engineering

Qian Qihu

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem

Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU

Journal Article

Adaptability to geological faulted foundation of Hardfill dam

XIONG Kun, HE Yunlong, PENG Yunfeng

Journal Article

Conceptual study on incorporating user information into forecasting systems

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

Journal Article

Instrument Industry Needs to Develop Ahead of Time

Journal Article

Rethinking of geological disaster control at the anniversary of the Wenchuan Earthquake

Lu Yaoru

Journal Article

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

Zhang Xiaolin

Journal Article

CO, N, and CO/N mixed gas injection for enhanced shale gas recovery and CO geological storage

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

Discussion on some basic problems about environmental geology

Liu Guangrun

Journal Article