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Recent Techniques Used in Home Energy Management Systems: A Review

Isaías Gomes, Karol Bot, Maria da Graça Ruano, António Ruano
2022 Energies  
For instance, energy consumption of appliances in a home can lead to misleading patterns.  ...  Power systems are going through a transition period. Consumers want more active participation in electric system management, namely assuming the role of producers–consumers, prosumers in short.  ...  A HEMS for a smart home having a PV system and battery storage is proposed in [80] . To solve the problem, a hybrid technique between stochastic programming and robust optimization is presented.  ... 
doi:10.3390/en15082866 fatcat:nrhf6bc6frdttbnerk6lrwlcbe

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

Sana Iqbal, Mohammad Sarfraz, Mohammad Ayyub, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan, Basem Alamri
2021 Sustainability  
The ever increasing demand for electricity and the rapid increase in the number of automatic electrical appliances have posed a critical energy management challenge for both utilities and consumers.  ...  We have also reviewed the practical aspects of DSM implementation for smart energy management.  ...  Scheduling is a load management technique wherein the smart home appliances are shifted from on-peak hours to off-peak hours (during DR programs) [36] , thereby shaving the peaks and filling the valleys  ... 
doi:10.3390/su13137170 fatcat:ncqdp7pk7ndq5ffhqmcd3glbym

Demand-Side Energy Management in Smart Buildings: A Case Study

Nazlı HASANOVA, Seçil VARBAK NEŞE
2021 European Journal of Technic  
The electrical devices were controlled with a Fuzzy Logic Controller (FLC), taking into account comfort, cost, and Demand Response (DR).  ...  The ever-increasing demand for electrical energy, gradual depletion of traditional resources used to meet demand, and increasing dependence on foreign sources resulted in diverse electricity generation  ...  ACKNOWLEDGEMENT The authors thank to Bilgin for contributing to this research by providing data collected for M.  ... 
doi:10.36222/ejt.969881 fatcat:xrjablragrgvdkybrbmszd6sxa

Residential Demand Response Algorithms: State-of-the-Art, Key Issues and Challenges [chapter]

Rajasekhar Batchu, Naran M. Pindoriya
2015 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
Demand Response (DR) in residential sector is considered to play a key role in the smart grid framework because of its disproportionate amount of peak energy use and massive integration of distributed  ...  Then a description of state-of-the-art optimization methods addressing different aspects of residential DR algorithms such as optimization of schedules for local RE based generation dispatch, battery storage  ...  Uncertainty in generation, interactions of multiple renewable resources with network. Exploring the usage of stochastic game-theoretic approaches for interactive decisions.  ... 
doi:10.1007/978-3-319-25479-1_2 fatcat:qddbrq3z7va23i6cwz6hszl4tm

An Interval Fuzzy-Stochastic Chance-Constrained Programming Based Energy-Water Nexus Model for Planning Electric Power Systems

Jing Liu, Yongping Li, Guohe Huang, Cai Suo, Shuo Yin
2017 Energies  
Previously, a number of inexact optimization models were developed for handling uncertainties and their interactions (in water management and EPS planning problems) through fuzzy, stochastic, and interval  ...  In this study, an interval fuzzy-stochastic chance-constrained programming based energy-water nexus (IFSCP-WEN) model is developed for planning electric power system (EPS).  ...  Decision makers are often responsible for allocating electricity from multiple electric utilities to multiple end users over a planning horizon.  ... 
doi:10.3390/en10111914 fatcat:flomxgziqjgahmfn4gmrd2qmre

Energy and environmental systems planning under uncertainty—An inexact fuzzy-stochastic programming approach

Y.F. Li, Y.P. Li, G.H. Huang, X. Chen
2010 Applied Energy  
In this study, an inexact fuzzy-stochastic energy model (IFS-EM) is developed for planning energy and environmental systems (EES) management under multiple uncertainties.  ...  development and environmental protection, and (c) in-depth analysis of tradeoffs among system cost, satisfaction degree and environmental requirement under multiple uncertainties.  ...  [20] developed a hybrid interval-fuzzy two-stage stochastic energy systems planning model to deal with uncertainties that can be expressed as fuzzy numbers, probability distributions, and discrete intervals  ... 
doi:10.1016/j.apenergy.2010.02.030 fatcat:hpwm23vylnf5zezwwqbq6zm44u

A Comprehensive Review on Integration Challenges, Optimization Techniques and Control Strategies of Hybrid AC/DC Microgrid

Omar Azeem, Mujtaba Ali, Ghulam Abbas, Muhammad Uzair, Ayman Qahmash, Abdulmohsen Algarni, Mohammad Rashid Hussain
2021 Applied Sciences  
scenarios, the efficient management regarding uncertainty for renewable energy resources, the optimal placement of feeders, and the cost-effective control methodologies for the hybrid microgrid.  ...  This paper will serve as a baseline for future research, comparative analysis, and further development of novel techniques regarding hybrid microgrids.  ...  The authors are also thankful to the Department of Electrical Engineering, The University of Lahore, Pakistan, for providing facilities to conduct this research.  ... 
doi:10.3390/app11146242 fatcat:274dmqmkzzfo7ojow2s75jr3wi

PhD_Synopsis_Manzoor_Ahmad_V2.pdf

Manzoor Ahmed
2021 figshare.com  
In this research, our second milestone is to propose an approach for providing a feasible solution of OPF problem in hybrid power systems by incorporating uncertainty of utility load demand and stochastic  ...  In existing literature for solving OPF problem, the utility load demand uncertainty is not incorporated in hybrid power systems.  ...  However, the uncertainty of RESs electricity is a huge challenge in the planning and operation of hybrid power systems.  ... 
doi:10.6084/m9.figshare.14099102.v1 fatcat:kpntrmrmqzftjb4zufsos2z3si

A Review on Applications of Multi-Criteria Decision Making (MCDM) For Solar Panel Selection

Sasikumar Gnanasekaran et al., Sasikumar Gnanasekaran et al.,
2019 International Journal of Mechanical and Production Engineering Research and Development  
The findings of this review paper will help the stakeholders and decision makers in sorting out some of the uncertainties in the selection of Solar panel.  ...  A photovoltaic (PV) system is used to generate solar energy by photovoltaics.  ...  Cai et al. (2009) proposed an optimization model which is an interactive decision support system for planning regional energy management systems. , and Yang (2009) developed an integrated stochastic and  ... 
doi:10.24247/ijmperdapr20192 fatcat:fcglpog35rdvhnx4wnchlkt3mu

An optimization model for regional micro-grid system management based on hybrid inexact stochastic-fuzzy chance-constrained programming

L. Ji, D.X. Niu, M. Xu, G.H. Huang
2015 International Journal of Electrical Power & Energy Systems  
In this study, a hybrid inexact stochastic-fuzzy chance-constrained programming (ITSFCCP) was developed for micro-grid system planning, and interval-parameter programming (IPP), two-stage stochastic programming  ...  (TSP) and fuzzy credibility constrained programming (FCCP) methods were integrated into a general framework to manage pollutants and CO 2 emissions under uncertainties presented as interval values, fuzzy  ...  Therefore, the objective of this study is to develop an inexact stochastic-fuzzy chance-constrained optimization model for electric schedule management.  ... 
doi:10.1016/j.ijepes.2014.08.014 fatcat:rmfhtc3xnfewveei5zyjehhfja

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Yimy E. García Vera, Rodolfo Dufo-López, José L. Bernal-Agustín
2019 Applied Sciences  
This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution  ...  Finally, future directions on predictive modeling mainly for energy storage systems are also proposed.  ...  The author in [77] presented an optimization system for a hybrid MG using a multi-objective stochastic technique.  ... 
doi:10.3390/app9183854 fatcat:i3kkxrvxkzfkrikaylmdrbizpi

Distributed approach in fault localization and service restoration: State-of-the-Art and future direction

Rukia J. Mwifunyi, Mussa M. Kissaka, Nerey H. Mvungi, Kun Chen
2019 Cogent Engineering  
This paper presents a survey of recent development in Fault Localisation and Service Restoration (FLSR) following electrical disturbance in Power Distribution Systems (PDS) based on distributed approaches  ...  The paper starts with a general overview of the Multi Agent Systems (MAS) as the distributed control approach and approaches for forecasting load demand and DG power and then discusses different approaches  ...  Funding The authors received no direct funding for this research. Author details  ... 
doi:10.1080/23311916.2019.1628424 fatcat:oh3tqxtclve3now5d5czxheot4

Charge Control and Operation of Electric Vehicles in Power Grids: A Review

Samy Faddel, Ali Al-Awami, Osama Mohammed
2018 Energies  
Therefore, this paper presents a review study about the recent control and optimization strategies for managing the charging/discharging of EVs.  ...  Electric Vehicles (EVs) and hybrid Electric vehicles (HEVs) are going to reshape the future of the transportation sector.  ...  Managing a large number of hybrid EVs at city parking lot was considered in [74] .  ... 
doi:10.3390/en11040701 fatcat:n5wiw6a7szfvnb3svjzgtiv2gm

Neural Networks for Real-Time Traffic Signal Control

D. Srinivasan, M.C. Choy, R.L. Cheu
2006 IEEE transactions on intelligent transportation systems (Print)  
The first multiagent system is developed using hybrid computational intelligent techniques.  ...  The second multiagent system is developed by integrating the simultaneous perturbation stochastic approximation theorem in fuzzy neural networks (NN).  ...  ACKNOWLEDGMENT The authors would like to thank the Land Transportation Authority of Singapore for providing data necessary for the simulation modeling.  ... 
doi:10.1109/tits.2006.874716 fatcat:3lgn75iyhbagjmyujzmexzyx6m

Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review

Rana.H.A. Zubo, Geev Mokryani, Haile-Selassie Rajamani, Jamshid Aghaei, Taher Niknam, Prashant Pillai
2017 Renewable & Sustainable Energy Reviews  
In this context, a comprehensive literature review of uncertainty modeling methods used for modelling uncertain parameters related to renewable DGs as well as methodologies used for the planning and operation  ...  under uncertainty and mathematical algorithms.  ...  UK under the CCIP grant 66052/000000.  ... 
doi:10.1016/j.rser.2016.10.036 fatcat:k37hfzm4dvblvchvizornz6jj4
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