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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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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 demandresponse (DR) programs.Specifically, intermediate coordinators get the access to fundamental models and response modes of TCLsIn this paper, the bottom-up key technologies of TCLs in DR programs based on the current research have

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

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Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 164-178 doi: 10.1007/s11708-012-0187-9

Abstract: The nodal prices increases during the congestion hours and the demand response to nodal prices will beIn this paper, demand response-based CM has been proposed for a mix of pool and bilateral electricityThe linear bid curves have been considered for demand bids to respond to the congestion in the networkThe bilateral demand has been obtained with minimum deviations in their preferred schedule.Multi-line congestion cases have been considered to study the impact on demand response without and with

Keywords： bid function     congestion management (CM)     demand response     pool+bilateral electricity market     static var    

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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: attuned use of multi-converter flexible alternative current transmission systems (M-FACTS) devices and demandresponse (DR) to perform congestion management (CM) in the deregulated environment.Besides, DR is a novel procedure that can be an effective tool for reduction of congestion.of the payments received by the generators for changing their output, the total payment received by DR& unified power flow controller (UPFC) and the DR & M-FACTS are presented.

Keywords： multi-converter flexible alternative current transmission systems (M-FACTS)     demand response     fuzzy decision    

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EV Response Capability Assessment Considering User Travel Demand and Cyber System Reliability Article

Yanli Liu, Ke Liu, Xu Sun

Engineering 2022, Volume 15, Issue 8,   Pages 186-196 doi: 10.1016/j.eng.2021.08.031

Abstract:

With the increasing penetration rate of electric vehicles (EVs), EV demand response holds great significanceThis paper proposes an EV response capability assessment method that considers EV users' travelThe degree of relaxation in the EV charging demand is proposed to reflect the user's travel demand, based on which the EV response capability can be assessed.The impact of cyber reliability on the EV trip and response capability is analyzed.

Keywords： Cyber system     Demand response     Electric vehicle    

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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 selecttheir DR compliance level, and provides incentives to maximize their participation.Customer response is handled by a multi-input multi-output (MIMO) fuzzy controller that manages negotiation

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

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Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies Artical

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

Engineering 2015, Volume 1, Issue 4,   Pages 422-435 doi: 10.15302/J-ENG-2015109

Abstract:

This paper collects and synthesizes the technical requirements, implementation, and validation methods for quasi-steady agent-based simulations of interconnection-scale models with particular attention to the integration of renewable generation and controllable loads. Approaches for modeling aggregated controllable loads are presented and placed in the same control and economic modeling framework as generation resources for interconnection planning studies. Model performance is examined with system parameters that are typical for an interconnection approximately the size of the Western Electricity Coordinating Council (WECC) and a control area about 1/100 the size of the system. These results are used to demonstrate and validate the methods presented.

Keywords： interconnection studies     demand response     load control     renewable integration     agent-based simulation     electricity    

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Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 74-94 doi: 10.1007/s11708-021-0792-6

Abstract: Smart buildings have been proven to be a kind of flexible demand response resources in the power systemTo maximize the utilization of the demand response resources, such as the heating, ventilating and air-conditioning

Keywords： smart buildings     cyber-physical-social-system     optimization     modeling     demand response     virtual power    

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Accelerated engineering properties of high and low volume fly ash concretes reinforced with glued steel fibers

Vallarasu Manoharan SOUNTHARARAJAN, Dr. Anandan SIVAKUMAR

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 429-445 doi: 10.1007/s11709-013-0226-6

Abstract: The present study focuses on the improvement of pozzolanic reaction of fly ash particles with the cement hydration products. Low and high volume fly ash concrete mixtures were studied systematically with the addition of accelerating admixtures and accelerated curing of the concrete specimens in a steam chamber for 18 h at 75°C. Also, the reinforcing effects of glued steel fibers addition on the compressive and flexural performance of fly ash concrete were investigated. The test results indicated that the addition of accelerator improved the rate of hardening and the inclusion of steel fibers provided higher flexural performance. Also, it can be noted that the high volume fly ash (50%) addition in concrete showed a reduction in strength; however, the addition of accelerator has compensated the deceleration in strength gain. The proper selection of concrete ingredients, addition of accelerator and initial steam curing for 18 h showed better improvement on the engineering properties in fly ash concrete. A maximum increase (41.7%) in compressive strength of fly ash concrete around 52.90 MPa was noticed for 25% fly ash substitution and 1.5% steel fibers addition. Dynamic elastic modulus was also calculated in loaded concrete specimen using ultrasonic pulse velocity test and showed a good agreement with the experimental value.

Keywords： fly ash     pozzolanic index     steam curing     superplasticizer     accelerator     steel fibres     elastic modulus    

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A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 198-210 doi: 10.1007/s11708-023-0874-8

Abstract: The increasing use of distributed energy resources changes the way to manage the electricity system. Unlike the traditional centralized powered utility, many homes and businesses with local electricity generators have established their own microgrids, which increases the use of renewable energy while introducing a new challenge to the management of the microgrid system from the mismatch and unknown of renewable energy generations, load demands, and dynamic electricity prices. To address this challenge, a rank-based multiple-choice secretary algorithm (RMSA) was proposed for microgrid management, to reduce the microgrid operating cost. Rather than relying on the complete information of future dynamic variables or accurate predictive approaches, a lightweight solution was used to make real-time decisions under uncertainties. The RMSA enables a microgrid to reduce the operating cost by determining the best electricity purchase timing for each task under dynamic pricing. Extensive experiments were conducted on real-world data sets to prove the efficacy of our solution in complex and divergent real-world scenarios.

Keywords： energy management systems     demand response     scheduling under uncertainty     renewable energy sources     multiple-choice    

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Pneumonic plague epidemic in Northeast China in 1910–1911: Dr.

Qingmeng Zhang, Fengmin Zhang, Baofeng Yang

Frontiers of Medicine 2018, Volume 12, Issue 1,   Pages 113-115 doi: 10.1007/s11684-018-0613-4

Abstract: bacteriological identification, and close collaboration with local authorities and international colleagues, DrIn his subsequent work, Dr.Dr. Wu’s academic and cultural contributions are valuable in the medical progress in China.

Keywords： pneumonic plague     prevention     epidemic control     Wu Lien-Teh    

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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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Clinical trials of the new 3-dimensional reticular intrauterine device for reproductive women

Qiu Yi,Wang Leiguang and Yu Ling

Strategic Study of CAE 2014, Volume 16, Issue 5,   Pages 39-46

Abstract: text-align: justify;">This study aimed at exploring a new 3-dimensional reticular intrauterine device (3-DR-IUDThe frame of the 3-DR-IUD was constructed with silicone rubber and nitinol wire.The 3-DR-IUD was placed into uterus in an outpatient procedure.The continuation rate was 98.7 % (75/76) in the 3-DR-IUD group，comparing with the 2-D-IUD group (86.83-DR-IUD appears to be a new，safe and effective devise of contraception.

Keywords： 3-DR-IUD     clinical trials     side effects     contraceptive efficacy    

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Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1510-1519 doi: 10.1007/s11709-019-0577-8

Abstract: The relationships between different Intensity Measure (IM) parameters and the Engineering Demand ParameterIM parameter and the drift ratio of the bridge column as the EDP parameter, a probabilistic seismic demandThe results show that PGA is a proper IM parameter for setting up a linear probabilistic seismic demand

Keywords： continuous bridge     probabilistic seismic demand model     Intensity Measure     near-fault     uncertainty    

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An interview with Dr. Raj Reddy on artificial intelligence Interview

FITEE editorial staff

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 3-5 doi: 10.1631/FITEE.1700860

Abstract: Raj Reddy博士就职于美国宾夕法尼亚州匹兹堡的卡耐基梅隆大学，担任该校计算机科学学院Moza Bint Nasser University计算机科学和机器人学教授。他曾于1994年获得美国计算机协会（ACM）图灵奖。 对中国政府2017年7月发布的“新一代人工智能发展规划”，Reddy博士表现出浓厚兴趣。2017年11月，Reddy博士在上海参加会议时接受了我们的采访，谈到关于人工智能的个人看法。就在这次会上，Reddy博士提出“认知放大器”（cognition amplifier）和“守护天使”（guardian angel）的概念。

Keywords： None    

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Title Author Date Type Operation

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

S. L. ARUN, M. P. SELVAN

Journal Article

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

Meng SONG, Wei SUN

Journal Article

Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

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

EV Response Capability Assessment Considering User Travel Demand and Cyber System Reliability

Yanli Liu, Ke Liu, Xu Sun

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

Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

Journal Article

Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system

Journal Article

Accelerated engineering properties of high and low volume fly ash concretes reinforced with glued steel fibers

Vallarasu Manoharan SOUNTHARARAJAN, Dr. Anandan SIVAKUMAR

Journal Article

A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Journal Article

Pneumonic plague epidemic in Northeast China in 1910–1911: Dr.

Qingmeng Zhang, Fengmin Zhang, Baofeng Yang

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

Clinical trials of the new 3-dimensional reticular intrauterine device for reproductive women

Qiu Yi,Wang Leiguang and Yu Ling

Journal Article

Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Journal Article

An interview with Dr. Raj Reddy on artificial intelligence

FITEE editorial staff

Journal Article