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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionbetween different time periods or demand patterns is ignored.To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method.

Keywords: demand coverage     monitoring     optimization     water distribution network     water quality    

Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords: bike share systems     demand prediction     prediction errors     machine learning     entropy    

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: This paper applies time series methodologies to examine the causal relationship among electricity demandMoreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand.This implies that electricity demand and economic growth are jointly determined at the same time for

Keywords: energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality    

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 459-468 doi: 10.1007/s11708-010-0119-5

Abstract: An assessment of the energy demand and the potential for sector-based emission reductions will provideIn this paper, Beijing was selected as a special case for analysis in order to assess the energy demandResults show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94%On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57%

Keywords: scenario analysis     urban traffic pattern     energy demand     reduction potential    

A-STC: auction-based spanning tree coverage algorithm formotion planning of cooperative robots Research Article

Guan-qiang GAO, Bin XIN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 18-31 doi: 10.1631/FITEE.1800551

Abstract:

The multi-robot coverage motion planning (MCMP) problem in which every reachable area must be covered, we propose an efficient, complete, and off-line algorithm, named the “auction-based spanning tree coverageFirst, the configuration space is divided into mega cells whose size is twice the minimum coverage rangeA robot that circumnavigates a spanning tree of the graph can generate a coverage trajectory.After auction processes, acceptable coverage trajectories can be planned rapidly.

Keywords: Coverage motion planning     Multi-robot system     Auction algorithm     Spanning tree coverage algorithm    

Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 715-730 doi: 10.1007/s11708-018-0538-2

Abstract: Demand side management (DSM) is one of such smart grid technologies which motivate end users to activelyConsumers are expected to respond (demand response (DR)) in various ways to attain these benefits.discharging) and the amount of power exchange from the battery while considering the variations in consumer demand

Keywords: smart grid     demand side management (DSM)     demand response (DR)     smart building     smart appliances     energy storage    

Modeling and simulation of industrial water demand of Beijing municipality in China

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 91-101 doi: 10.1007/s11783-010-0007-6

Abstract: econometric regression models were established in this study to analyze and predict industrial water demandFour scenarios were designed to simulate and analyze the future uncertainty of industrial water demandThe modeling results for industrial water demand suggested that Beijing industry would face a water deficitbetween 3.06 × 10 min 2008 and 2.77 × 10 m in 2015, though its industrial water demand

Keywords: water scarcity     water demand     water deficit     modeling     industry     scenario     Beijing    

Applications of thermostatically controlled loads for demand response with the proliferation of variable

Meng SONG, Wei SUN

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 64-73 doi: 10.1007/s11708-021-0732-5

Abstract: flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demandloads (TCLs) attract tremendous attentions because of their specific thermal inertia capability in demand

Keywords: thermostatically controlled load     demand response     renewable energy     power system operation    

Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 388-398 doi: 10.15302/J-FEM-2017046

Abstract: better evaluate the urban network-wide travel time reliability, five indices based on the emerging on-demandWe use real-world data extracted from DiDi-Chuxing, which is the largest on-demand ride service platform

Keywords: network travel time reliability     on-demand ride services     travel time rate     OD    

Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear

Frontiers of Engineering Management   Pages 452-461 doi: 10.1007/s42524-022-0209-1

Abstract: China’s MRIO tables 2017 with 28 regions and 42 economic sectors, results show that reduction in final demandNevertheless, certain demand side regulation strategy can be adopted to lower CO2 emissions

Keywords: CO2 emissions     demand side regulation     multi-regional input–output model     linear programming    

Effects of alfalfa coverage on runoff, erosion and hydraulic characteristics of overland flow on loess

Shufang WU, Pute WU, Hao FENG, G. P. Merkley

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1,   Pages 76-83 doi: 10.1007/s11783-011-0282-x

Abstract: An evaluation of the interactions between vegetation, overland and soil erosion can provide valuable insight for the conservation of soil and water. An experiment was conducted to study water infiltration, runoff generation process, rate of sediment erosion, and hydrodynamic characteristics of overland flow from a sloping hillside with different draw-off discharges from alfalfa and control plots with 20° slope. The effect of alfalfa on runoff and sediment transport reduction was quantitatively analyzed. Alfalfa was discussed for its ability to reduce the overland flow scouring force or change the runoff movement. Compared to the bare-soil plots, alfalfa plots generated a 1.77 times increase in infiltration rate. Furthermore, the down-slope water infiltration rate for the bare soil plots was higher than in the up-slope, while the opposite was found in the alfalfa plots. In addition, alfalfa had a significant effect on runoff and sediment yield. In comparison to the control, the runoff coefficient and sediment transportation rate decreased by 28.3% and 78.4% in the grass slope, respectively. The runoff generated from the alfalfa and bare-soil plots had similar trends with an initial increase and subsequent leveling to a steady-state rate. The transport of sediment reduced with time as a consequence of the depletion of loose surface materials. The maximum sediment concentration was recorded within the first few minutes of each event. The alfalfa plots had subcritical flow while the bare-soil plots had supercritical flow, which indicate that the capability of the alfalfa slope for resisting soil erosion and sediment movement was greater than for bare soil plots. Moreover, the flow resistance coefficient and roughness coefficient for the alfalfa plots were both higher than for the bare-soil plots, which indicate that overland flow in alfalfa plots had retarded and was blocked, and the flow energy along the runoff path had gradually dissipated. Finally, the ability to erode and transport sediment had decreased.

Keywords: alfalfa     soil erosion     runoff and sedimentation     soil water infiltration     overland flow     hydrodynamic characteristics    

Bioorthogonal chemistry based on-demand drug delivery system in cancer therapy

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 4,   Pages 483-489 doi: 10.1007/s11705-022-2227-2

Abstract: Benefiting from the advantage of taking place in biological environments without interfering with an innate biochemical process, the bioorthogonal reaction that commonly contains the “bond formation” and “bond cleavage” system has been widely used in targeted therapy for a variety of tumors. Herein, several prominent cases based on the bioorthogonal reaction that tailoring the metabolic glycoengineering tactics to modified cells for cancer immunotherapy, and the innovative tactics for reducing the metal ions’ toxic and side effects with microneedle patches will be highlighted. Based on these applications, the complexities, potential pitfalls, and opportunities of bioorthogonal chemistry in future cancer therapy will be evaluated.

Keywords: bioorthogonal reaction     cancer therapy     metabolic glycoengineering     bioorthogonal catalytic patch    

Supply and Demand Analysis, Future Demand Forecast, and Countermeasure Studies for Forage Materials in

Aimin Liu, Panna Jia, Lixin Wang, Liangjie Wu

Strategic Study of CAE 2018, Volume 20, Issue 5,   Pages 39-44 doi: 10.15302/J-SSCAE-2018.05.006

Abstract: of livestock products such as meat, poultry, eggs, and milk keep increasing, and thus the domestic demandBased on the analysis of changes in the supply and demand of forage materials in China and the changesin the future demand for domestic livestock and poultry products, the future demand of forage materialsThe research results show that the gap of supply and demand of forage materials in China will continue

Keywords: forage materials     supply and demand     forecast     countermeasures    

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    

Coverage performance of the multilayer UAV-terrestrial HetNet with CoMP transmission scheme Research Article

Weihao WANG, Yifan JIANG, Zesong FEI, Jing GUO,weihaowang@bit.edu.cn,jiangyifan@bit.edu.cn,feizesong@bit.edu.cn,jingguo@bit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 61-72 doi: 10.1631/FITEE.2100310

Abstract: develop a tractable mathematical framework to characterize the aggregate interference and evaluate the coverage

Keywords: Unmanned aerial vehicle     Poisson point process     Coordinated multipoint (CoMP)     Statistics of interference     Coverage    

Title Author Date Type Operation

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Journal Article

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Journal Article

A-STC: auction-based spanning tree coverage algorithm formotion planning of cooperative robots

Guan-qiang GAO, Bin XIN

Journal Article

Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Journal Article

Modeling and simulation of industrial water demand of Beijing municipality in China

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

Journal Article

Applications of thermostatically controlled loads for demand response with the proliferation of variable

Meng SONG, Wei SUN

Journal Article

Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Journal Article

Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear

Journal Article

Effects of alfalfa coverage on runoff, erosion and hydraulic characteristics of overland flow on loess

Shufang WU, Pute WU, Hao FENG, G. P. Merkley

Journal Article

Bioorthogonal chemistry based on-demand drug delivery system in cancer therapy

Journal Article

Supply and Demand Analysis, Future Demand Forecast, and Countermeasure Studies for Forage Materials in

Aimin Liu, Panna Jia, Lixin Wang, Liangjie Wu

Journal Article

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

Journal Article

Coverage performance of the multilayer UAV-terrestrial HetNet with CoMP transmission scheme

Weihao WANG, Yifan JIANG, Zesong FEI, Jing GUO,weihaowang@bit.edu.cn,jiangyifan@bit.edu.cn,feizesong@bit.edu.cn,jingguo@bit.edu.cn

Journal Article