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Agent-Based Appliance Scheduling for Energy Management in Industry 4.0 [chapter]

Ioan Petri, Aida Yama, Yacine Rezgui
2019 Lecture Notes in Computer Science  
We demonstrate how agents can be devised to model appliances and buildings and to support the formation of smart energy clusters.  ...  In this paper, we propose a multi-agent coordination framework for managing energy in the fish processing industry.  ...  This work is part of the EU INTERREG piSCES project: "Smart Cluster Energy System for the Fish Processing Industry", grant number 504460.  ... 
doi:10.1007/978-3-030-36027-6_17 fatcat:bozlsek4ifdjboccudktzivxhq

Analysis and simulation of smart energy clusters and energy value chain for fish processing industries

Ateyah Alzahrani, Ioan Petri, Yacine Rezgui
2019 Energy Reports  
environmental impacts in terms of CO 2 emissions while exploring the potential for integrating renewable energy sources.  ...  clean renewables and adoption of smart energy management solutions.  ...  Acknowledgments This work is part of the EU INTERREG piSCES Project: "Smart Cluster Energy System for the Fish Processing Industry", grant number: 504460.  ... 
doi:10.1016/j.egyr.2019.09.022 fatcat:tijhevcqy5aaxfv5r7h4teh67e

Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters

Zahra Pooranian, Jemal Abawajy, Vinod P, Mauro Conti
2018 Energies  
In this paper, we propose an optimization model for jointly minimizing electricity costs and CO 2 emissions by considering consumer preferences in smart buildings that are equipped with distributed energy  ...  In this paper, we address the problem of minimizing the total daily energy cost in a smart residential building composed of multiple smart homes with the aim of reducing the cost of energy bills and the  ...  In this paper, we propose an energy management solution for a smart building, composed of multiple smart homes with its own DER as a microgrid.  ... 
doi:10.3390/en11061348 fatcat:2hsa7alzgvbtzep2qg3zb3qgm4

Load balancing with energy storage systems based on co-simulation of multiple smart buildings and distribution networks

Shaun Duerr, Cristinel Ababei, Dan M. Ionel
2017 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)  
Such a framework can be used to develop and study district level optimization techniques that exploit the interaction between a smart electric grid and buildings as well as the interaction between buildings  ...  In this paper, we present a co-simulation framework that combines two main simulation tools, one that provides detailed multiple building energy simulation ability with Energy-Plus being the core engine  ...  Co-Simulation Framework for Multiple Buildings Energy and Distribution Network Simulations A.  ... 
doi:10.1109/icrera.2017.8191262 fatcat:gwbbe7dgv5cu7f2ytjugblylhe

Privacy-Preserving Energy Management of a Shared Energy Storage System for Smart Buildings: A Federated Deep Reinforcement Learning Approach

Sangyoon Lee, Le Xie, Dae-Hyun Choi
2021 Sensors  
The results demonstrate that the proposed approach can schedule the charging and discharging of the SESS and an optimal energy consumption of heating, ventilation, and air conditioning systems in smart  ...  This paper proposes a privacy-preserving energy management of a shared energy storage system (SESS) for multiple smart buildings using federated reinforcement learning (FRL).  ...  Thus, the DRL-based LBEMS model with additional appliance agents can be merged into the FRL-based framework proposed in Section 3 to schedule the optimal energy consumption of multiple smart buildings  ... 
doi:10.3390/s21144898 fatcat:bjs2sta6bzanrcrorm3uoeunwm

A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks

Yixiong Feng, Yong Wang, Hao Zheng, Shanghua Mi, Jianrong Tan
2018 Sensors  
Energy provisioning is always a crucial problem restricting the further development and application of smart industrial wireless sensor networks in smart factories.  ...  Based on the complexity and time-effectiveness of factory operations, we establish a joint optimization framework named J-EPMS to effectively coordinate the charging strategies of wireless sensors and  ...  Acknowledgments: The authors would like to thank the associate editor and anonymous reviewers for their valuable comments and suggestions to improve this paper.  ... 
doi:10.3390/s18082591 pmid:30087308 fatcat:c3vr5dugxfd3hpt4eatwqapkp4

Modeling A Micro-Nexus of Water and Energy for Smart Villages/Cities/Buildings [article]

Qifeng Li, Suhyoun Yu, Ameena Al-Sumaiti, Konstantin Turitsyn
2017 arXiv   pre-print
Base on the proposed nexus model, a co-optimization framework of water and energy networks is developed.  ...  For the electricity side, an alternating current (AC) power flow model integrated with battery energy storage and renewable generation is adopted.  ...  CO-OPTIMIZATION OF WATER AND ENERGY NETWORKS Based on the mathematical model of micro-WEN introduced in Section III, this section develops a co-optimization framework for water and energy networks.  ... 
arXiv:1711.03241v1 fatcat:awgy3diggfg3nlwjcmbsbxx27m

Deep Learning in Energy Modeling: Application in Smart Buildings with Distributed Energy Generation

Seyed Azad Nabavi, Naser Hossein Motlagh, Martha Arbayani Zaidan, Alireza Aslani, Behnam Zakeri
2021 IEEE Access  
of energy demand and supply for buildings.  ...  Over 33% of final energy consumption is used in buildings which leads to nearly 40% of total direct and indirect CO 2 emissions in the world.  ...  The efficiency of integrating RE sources and energy storage in a smart active building also can be significantly increased through an optimizing and scheduling approach.  ... 
doi:10.1109/access.2021.3110960 fatcat:43ovxzyai5f2hmz6fc7ysjkdda

A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings

J. Aguilar, A. Garces-Jimenez, M.D. R-Moreno, Rodrigo García
2021 Renewable & Sustainable Energy Reviews  
This work presents a systematic review of the literature on researches that have been done in recent years to improve energy management systems for smart building using artificial intelligence techniques  ...  , such as monitoring, analysis, and decisionmaking tasks for reaching objectives in the environment, like improve the energy efficiency.  ...  Acknowledgments This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 754382 GOT ENERGY TALENT.  ... 
doi:10.1016/j.rser.2021.111530 fatcat:wvby46onwvavhbcfd3f34x74g4

Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries

Kaveh Paridari, Alessandra Parisio, Henrik Sandberg, Karl Henrik Johansson
2014 2014 IEEE International Conference on Automation Science and Engineering (CASE)  
In this paper, we present a novel method for scheduling smart appliances and batteries, in order to reduce both the electricity bill and the CO2 emissions.  ...  Furthermore, a survey of studies that deal with scheduling of smart appliances is provided.  ...  ; an example of an active apartment building is depicted in Figure 1 .  ... 
doi:10.1109/coase.2014.6899394 dblp:conf/case/ParidariPSJ14 fatcat:7ag2su7fvrbvhjsmaiw3ajbivu

Enhancing Comfort of Occupants in Energy Buildings [chapter]

Monalisa Pal, Amr Alzouhri Alyafi, Sanghamitra Bandyopadhyay, Stéphane Ploix, Patrick Reignier
2018 Operations Research and Optimization  
This data is utilised by a physical model of the building to simulate the indoor ambience based on random sets of user actions from which an optimal schedule is obtained, representing equally best trade-off  ...  (opening/closing of doors/windows) for optimal comfort.  ...  , into a positive energy building constructed at Strasbourg in France by Elithis.  ... 
doi:10.1007/978-981-10-7814-9_10 fatcat:4ewtcscujrav7chw5puoabv2jm

Efficient Energy Management for the Internet of Things in Smart Cities

Waleed Ejaz, Muhammad Naeem, Adnan Shahid, Alagan Anpalagan, Minho Jo
2017 IEEE Communications Magazine  
The authors in [12] presented an optimization framework for smart home scheduling of various appliances and assignment of energy resources.  ...  We then provide a unifying framework for energy-efficient optimization and scheduling of IoT-based smart cities.  ... 
doi:10.1109/mcom.2017.1600218cm fatcat:p2ctkshenzcbjl4pfdiryeceji

Multi-time scale energy management framework for smart PV systems mixing fast and slow dynamics

Daichi Watari, Ittetsu Taniguchi, Hans Goverde, Patrizio Manganiello, Elham Shirazi, Francky Catthoor, Takao Onoye
2021 Applied Energy  
We propose a multi-time scale energy management framework for a smart photovoltaic (PV) system that can calculate optimized schedules for battery operation, power purchases, and appliance usage.  ...  A smart PV system is a local energy community that includes several buildings and households equipped with PV panels and batteries.  ...  Most of the EMSs presented in the literature have formulated energy management for smart energy systems as an optimization problem with integers or continuous variables and constraints.  ... 
doi:10.1016/j.apenergy.2021.116671 fatcat:772o7gfvejeblgtz4oegfounfm

Novel Simulation Approaches for Smart Grids

Eleftherios Tsampasis, Lambros Sarakis, Helen Leligou, Theodore Zahariadis, John Garofalakis
2016 Journal of Sensor and Actuator Networks  
for the control of the building and of the smart grid, exploiting elaborate building energy performance models.  ...  In this paper, we review current smart grid simulators and approaches for building and user behavior modeling, and present a federated smart grid simulation framework, in which building, control and user  ...  Author Contributions: Eleftherios Tsampasis worked on the smart grid co-simulation platforms assessment, on the implementation of the testbed for the validation of key functionality of the proposed system  ... 
doi:10.3390/jsan5030011 fatcat:iay4rblwdndwvfwm4np4pfzyu4

Web-based economic and environmental optimization of microgrids

M. Stadler, C. Marnay, N. DeForest, J. Eto, G. Cardoso, D. Klapp, J. Lai
2012 2012 IEEE PES Innovative Smart Grid Technologies (ISGT)  
• minimizes annual energy costs, CO 2 emissions, or multiple objectives of providing services on the building level (typically buildings with 250-2000 kW peak) • produces technology neutral pure optimal  ...  :• deliver optimized week-ahead scheduling of onsite electric storage with Operations DER-CAM • determine potential reduction in utility feeder peak demand integration of building energy simulation, flexible  ...  H1:H3 -Average of optimal battery schedules H1 to H3, obtained from fuel cell availability scenarios 1 to 3. HS  ... 
doi:10.1109/isgt.2012.6175750 dblp:conf/isgt/StadlerMDECKL12 fatcat:73rpmtunire3da2tw52iglfnxy
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