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A multipath routing algorithm for satellite networksbased on service demand and traffic awareness Research Article

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 844-858 doi: 10.1631/FITEE.2200507

Abstract: due to the factors such as geographical location and people’s living habits, the differences in user’ demandThe service quality requirements cannot be satisfied when multiple service requests are made.

Keywords： network (SDN)     Quick user datagram protocol Internet connection (QUIC)     Reinforcement learning     Sketch     Multi-servicedemand     Satellite network    

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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-demandride service data are proposed: network free flow time rate (NFFTR), network travel time rate (NTTR)We 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    

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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: This study combines multi-regional input–output (MRIO) model with linear programming (LP) model to exploreChina’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    

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Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market

Y. HASHEMI,H. SHAYEGHI,B. HASHEMI

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 282-296 doi: 10.1007/s11708-015-0366-6

Abstract: This paper addresses the attuned use of multi-converter flexible alternative current transmission systems(M-FACTS) devices and demand response (DR) to perform congestion management (CM) in the deregulatedA multi-objective problem (MOP) based on the sum of the payments received by the generators for changingFor the solution of this problem a nonlinear time-varying evolution (NTVE) based multi-objective particleemployed for finding the best compromise solution from the set of Pareto-solutions obtained through multi-objective

Keywords： multi-converter flexible alternative current transmission systems (M-FACTS)     demand response     fuzzy decisionmaking     multi-objective particle swarm optimization-nonlinear time-varying evolution (MOPSO-NTVE)    

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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     Wavelet multi-resolution analysis     Data-driven models    

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Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting Article

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Engineering 2019, Volume 5, Issue 3,   Pages 586-593 doi: 10.1016/j.eng.2018.12.009

Abstract:

Drop-on-demand (DOD) bioprinting has been widely used in tissue engineering due to its highthroughputIn this paper, a multi-objective optimization (MOO) design method for DOD printing parameters throughA hybrid multi-subgradient descent bundle method with an adaptive learning rate algorithm (HMSGDBA),

Keywords： Drop-on-demand printing     Inkjet printing     Gradient descent multi-objective optimization     Fully connected    

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Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard Article

Javad Fattahi, Mikhak Samadi, Melike Erol-Kantarci, Henry Schriemer

Engineering 2020, Volume 6, Issue 7,   Pages 801-811 doi: 10.1016/j.eng.2020.06.005

Abstract:

This paper presents a transactive demand response (TDR) scheme for a network of residential customersThe demand response (DR) scheme is designed to accommodate privacy concerns, allows customers to selectCustomer response is handled by a multi-input multi-output (MIMO) fuzzy controller that manages negotiationWe take a multi-agent system approach to neighborhood coordination, with the TA servicing multiple residences

Keywords： Transactive demand response     IEEE 2030.5     Smart grid     Multi-agent system     Neighborhood coordination    

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A multi-objective design method for seismic retrofitting of existing reinforced concrete frames using

Yue CHEN; Rong XU; Hao WU; Tao SHENG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1089-1103 doi: 10.1007/s11709-022-0851-z

Abstract: However, it is still a challenge that how to determine the stiffness demand of PWs and assign the valuedesign method has been exploited for seismic retrofitting of existing RFs using PWs (RF-PWs) via a multi-objectiveFinally, a parametric analysis was executed to exhibit the strengths and working mechanism of the multi-objectivethis paper is feasible, functional and can provide adequate information for determining the stiffness demand

Keywords： pin-supported rocking wall     reinforced concrete frame     seismic retrofit     stiffness demand     drift concentrationfactor     multi-objective design     genetic algorithm     Pareto optimal solution    

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Information sharing and performance of service supply chain

Yang Shanlin,Cheng Fei,Yang Changhui

Strategic Study of CAE 2011, Volume 13, Issue 8,   Pages 80-86

Abstract:

The service supply chain consisting of one service vendor (SV) and oneservice integrator (SI) was studied.The service vendor supplies original service productions or activities to the SI that in turn sells thevalue-add integration service to customers.In this paper, we developed information sharing and performance of service supply chain between SV and

Keywords： service supply chain     service vendor     service integrator     information sharing     coordination    

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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    

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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    

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Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 304-314 doi: 10.15302/J-FEM-2017045

Abstract: In practice, an energy consumer often consists of a set of residential or commercial buildings, with individual units that are expected to cooperate to achieve overall optimization under modern electricity operations, such as time-of-use price. Global utility is decomposed to the payoff of each player, and each game is played over a prediction horizon through the design of a series of sliding window games by treating each building as a player. During the games, a distributed learning algorithm based on game theory is proposed such that each building learns to play a part of the global optimum through state transition. The proposed scheme is applied to a case study of three buildings to demonstrate its effectiveness.

Keywords： game theory     demand response     HVAC control     multi-building system    

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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    

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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    

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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    

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Title Author Date Type Operation

A multipath routing algorithm for satellite networksbased on service demand and traffic awareness

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

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

Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market

Y. HASHEMI,H. SHAYEGHI,B. HASHEMI

Journal Article

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

Journal Article

Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Journal Article

Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard

Javad Fattahi, Mikhak Samadi, Melike Erol-Kantarci, Henry Schriemer

Journal Article

A multi-objective design method for seismic retrofitting of existing reinforced concrete frames using

Yue CHEN; Rong XU; Hao WU; Tao SHENG

Journal Article

Information sharing and performance of service supply chain

Yang Shanlin,Cheng Fei,Yang Changhui

Journal Article

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

Journal Article

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

Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

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

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

S. L. ARUN, M. P. SELVAN

Journal Article