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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:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticorganically synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligentforecasting mode and method.When illustrating the method by an application to forecast mid and long term hydrological process ofThe results are highly promising and show that the operation speed, precision and stability of intelligent

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

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Study of mid-long term power supply capacity in China

Bai Jianhua,Xin Songxu

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 65-74

Abstract: in China and relevant energy development policies, this paper comprehensively analyzed China's mid-longterm power supply capacity, including supply capacities of coal-fired power, hydropower, nuclear powerBased on this, with the objective of minimizing the total cost to society, it also optimized the mid-longterm generation mix in China, and proposed the mid-long term generation arrangement.

Keywords： power supply capacity mid-long term generation mixture generation arrangement

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LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1287-1301 doi: 10.1631/FITEE.2200540

Abstract: Accurate long-term power forecasting is important in the decision-making operation of the power gridHowever, most time-series forecasting models do not perform well in dealing with long-time-series predictionFirst, we combine Informer with long short-term memory (LSTM) to obtain deep representation abilitiesLDformer outperforms the state-of-the-art methods for most of the cases when handling the different long-time-series

Keywords： Long-term power forecasting Long short-term memory (LSTM) UniDrop Self-attention mechanism

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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords： Short-term water demand forecasting Long-short term memory neural network Convolutional Neural Network

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Research on mid-long term electric power development strategy in China

Yang Qixun,Jiang Yiguo,Cong Lin,Yao Yufang,Bai Jianhua

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 57-64

Abstract:

On the basis of forecasting mid-long term electricity consumption demandThe principle and purpose for developing mid-long term power supply pattern were expounded, and mid-longterm power grid pattern is proposed.Finally, it was indicated that mid-long term electric power developmentstrategy in China need some new power technologies, such as intelligent power distribution and utilization, intelligent power dispatching, large scale energy storage, superconducting power, distributed power

Keywords： energy development strategy electric power development strategy mid-long term

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The mid-long term (2030, 2050) development of renewable energy in China: Strategic target and roadmap

Huang Qili,Gao Hu,Zhao Yongqiang

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 88-94

Abstract:

In the context of the coal-dominated primary energy mix in China and the national strategy of restructuring such energy mix, this paper reviews the technological and industrial progress in renewable energy sector, and analyzes the strategic targets, technological roadmap, key areas and enabling policies for renewable energy development by 2030 and 2050 in a strategic perspective. This paper concludes that renewable energy is expected to evolve from supplementary energy now to alternative energy by 2020, mainstream energy by 2030 and dominative energy by 2050, through the deployment of renewable energy technologies, focusing on power generation, thermal utilization and gasification, and biofuel for transportation

Keywords： renewable energy mid-long term strategic target roadmap

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Sketch of mid-long term (2030, 2050) development strategy study of hydropower in China

Yan Zhiyong, Qian Gangliang

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 108-112

Abstract:

Based on the hydropower potential and distribution features,analyze the status and role of hydropower in China, review the history of hydropower development and current situation, contrast and analyze the differences of hydropower development in China and some other overseas countries, present strategy route and target and key point of hydropower development in China and present measures and suggestions to hydropower development in future.

Keywords： hydropower resources hydropower development target key point support measures

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China’s scientific, green and low carbon energy strategy

Du Xiangwan,Zhou Dadi

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 4-10

Abstract: Then it proposes the guiding thought and principles for China's mid-long term development strategy

Keywords： China’s energy mid-long term development strategy green and low carbon

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Stabilization-based soil remediation should consider long-term challenges

Zhengtao Shen, Zhen Li, Daniel S. Alessi

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 2, doi: 10.1007/s11783-018-1028-9

Abstract: However, there are emerging challenges regarding the long-term performance of the technology, which maystem from a research gap regarding the development of accurate, quantitative laboratory simulations of long-termTherefore, field trials coupled with long-term monitoring are critical to further verify conditions underSustainability is also an important factor affecting the long-term stability of site remediation.

Keywords： Stabilization Soil remediation Long-term Trace metals

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Short-term Load Forecasting Using Neural Network

Luo Mei

Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 77-80

Abstract: BP ANN models, namely SDBP, LMBP and BRBP Model, are established to carry out the short-termload forecasting work, and the results are compared.

Keywords： short-term load forecasting(STLF) ANN Levenberg-Marquardt Bayesian regularization optimized algorithms

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Oil alternative strategies and mid-long term development goals of bio-energy

Li Shizhong

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 101-107

Abstract:

The guarantee feedstock resources for developing bio-energy in China were introduced in this paper, including land resources, forest resources, straw resource, agricultural residual and organic waste. The significance and developing prospect of biomass energy were presented from a strategic perspective. Main bio-energy products and biomass conversion techniques were reviewed, such as fuel ethanol, biodiesel, biogas and bio-pelletes etc. The goals of developing bio-energy at different stages in our nation from now to 2050 were introduced, and some feasible advices were given from the views of policy, technology and environmental protection.

Keywords： bio-energy feedstock guarantee bio-energy product developing goal

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System analysis of the mid-long term (2030,2050) energy saving strategy of China

Ma Linwei, Li Zheng, Ni Weidou, Fu Feng

Strategic Study of CAE 2011, Volume 13, Issue 6, Pages 25-29

Abstract: Then, the strategic goal of mid-long term energy saving of China, and three ways to implement it were

Keywords： energy saving development strategy system analysis

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Long-term exposure to air pollution and cerebrovascular disease: findings from Beijing Health Management

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1684-2

Abstract:

● This study explored the long-term association by double robust

Keywords： Air pollution Cerebrovascular disease Incidence Long-term exposure Doubly robust additive model

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A perspective of “Nuclear Hot Spring” for long-term sustainable economy of the world

Yingzhong LU

Frontiers in Energy 2011, Volume 5, Issue 4, Pages 349-357 doi: 10.1007/s11708-011-0168-4

Abstract: The rapid growth of human economy in the late 20th century gave rise to great concern over sustainability of the world. A pessimistic “Full World Model” forecasts that human economy could not develop further. The nuclear fission (and fusion later), however, could release huge amount of energy to create sufficient useful material resources and turn the said pessimistic modelinto a new optimistic “Sustainable World Model”.The dilemma of nuclear energy (Military Giant vs. Civil Dwarf) jeopardizes its performance as a “Technologic Fixer”. According to Mother Nature’s teachings, the elimination of the root-causes of the design-based risk factors could solve this problem. Recent technology break-through from inherent safety to natural safety has been made in China. The proposed full-power natural circulation “Nuclear Hot Spring (NHS)” reactor could operate solely on natural forces without complex man-made coolant circulation equipment and human-operated control systems. The cheap, unlimited supply of energy from nuclear energy could change the geopolitics forever, and finally eliminate the root-causes of most international and regional conflicts.

Keywords： natural safety reactor full power natural circulation sustainable world economy

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Effects of coarse and fine aggregates on long-term mechanical properties of sea sand recycled aggregate

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 754-772 doi: 10.1007/s11709-021-0711-2

Abstract: Typical effects of coarse and fine aggregates on the long-term properties of sea sand recycled aggregateFinally, an analytical expression is suggested to construct the long-term stress–strain curve of SSRAC

Keywords： aggregate concrete recycled coarse aggregate replacement percentage sea sand chloride ion content long-term