4,926 Hits in 5.9 sec

Flexible demand in the GB domestic electricity sector in 2030

Brian Drysdale, Jianzhong Wu, Nick Jenkins
2015 Applied Energy  
GrantRef=EP/E04011X/1), the EPSRC Increasing the Observability of Electrical Distribution Systems using Smart Meters (IOSM) Grant, EP/J00944X/1, the WJ Davey Endowment at Cardiff University, and Willmott  ...  Dixon Limited (, for the financial support of this work.  ...  Daily electricity load profiles Daily load profiles for ESWH, cold appliances and wet appliances are based on profiles from the Household Electricity Survey (HES) [2] .  ... 
doi:10.1016/j.apenergy.2014.11.013 fatcat:diewinhjpza7bjq3wjp2pabhgm

Modeling the Effects of Variable Tariffs on Domestic Electric Load Profiles by Use of Occupant Behavior Submodels

David Fischer, Bruce Stephen, Alexander Flunk, Niklas Kreifels, Karen Byskov Lindberg, Bernhard Wille-Haussmann, Edward H. Owens
2017 IEEE Transactions on Smart Grid  
A discussion on selected aspects for tariff design for categories of typical household appliances is included.  ...  , price response and dependency between behaviour and electric demand.  ...  The research leading to these results has been conducted within the ORIGIN Project and has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement N •  ... 
doi:10.1109/tsg.2016.2544141 fatcat:2vzroz4wwrecbi7wfq3rerbt2e

Electricity load profiles in Europe: The importance of household segmentation

Marian Hayn, Valentin Bertsch, Wolf Fichtner
2014 Energy Research & Social Science  
While households are responsible for 29% of total electricity demand in Europe, a good understanding of their consumption and load profiles is missing.  ...  Residential electricity demand and load profiles Lifestyles and socio-demographic factors Electric appliances and technologies for electricity and heat supply a b s t r a c t In the current market design  ...  The peak demand of selected appliances is shown in Fig. 5 .  ... 
doi:10.1016/j.erss.2014.07.002 fatcat:iylnwkcy3bdkpgmxmswjqejk3a

An efficient home energy management system for automated residential demand response

Hadis Pourasghar Khomami, Mohammad Hossein Javidi
2013 2013 13th International Conference on Environment and Electrical Engineering (EEEIC)  
Due to the emerging of smart grid, residential consumers have the opportunity to reduce their electricity cost (EC) and peak-to-average ratio (PAR) through scheduling their power consumption.  ...  In this paper, first we present a novel architecture of home EMS and automated DR framework for scheduling of various household appliances in a smart home, and then propose a genetic algorithm (GA) based  ...  At the same time, consumers will have the opportunity to control their power usage as well as reducing their costs.  ... 
doi:10.1109/eeeic-2.2013.6737927 fatcat:ws3vas3blrcslikuo4uxlvdcle

Demand Response Strategy Based on Reinforcement Learning and Fuzzy Reasoning for Home Energy Management

Fayiz Alfaverh, M. Denai, Y. Sun
2020 IEEE Access  
Demand response schemes seek to incentivise consumers to use green energy and reduce their electricity usage during peak periods which helps support grid balancing of supply-demand and generate revenue  ...  As energy demand continues to increase, demand response (DR) programs in the electricity distribution grid are gaining momentum and their adoption is set to grow gradually over the years ahead.  ...  their loads in response to electricity tariffs during peak periods without compromising their lifestyle and preferences [3] , [5] , [9] , [10] .  ... 
doi:10.1109/access.2020.2974286 fatcat:rfzvfumdtza2tn6ok5e4abm4x4

Novel genetic algorithm for scheduling of appliances

Ugonna R. Anuebunwa, Haile-Selassie Rajamani, Prashant Pillai, Oghenovo Okpako
2016 2016 IEEE PES PowerAfrica  
A novel measure of the comfort of the customer, derived from the standard deviation of the load profile, is proposed in order to encourage the customer to participate more actively in demand response programs  ...  With the lowering cost of smart plugs and other automation units, it has become possible to schedule electrical appliances. This makes it possible to adjust the load profiles of houses.  ...  ACKNOWLEDGEMENT This work was supported by the British Council and the UK Department of Business Innovation and Skills under GII funding for the SITARA project.  ... 
doi:10.1109/powerafrica.2016.7556570 fatcat:eiys7xkydjhn5ht2r625bve7gq

Incentive-Based Demand Response Framework for Residential Applications: Design and Real-Life Demonstration

Angelina D. Bintoudi, Napoleon Bezas, Lampros Zyglakis, Georgios Isaioglou, Christos Timplalexis, Paschalis Gkaidatzis, Athanasios Tryferidis, Dimosthenis Ioannidis, Dimitrios Tzovaras
2021 Energies  
However, this relatively small increase demands, among others, changes in the energy consuming behaviour of households.  ...  To achieve this, Demand Response (DR) has been identified as a promising tool for unlocking the hidden flexibility potential of residential consumption.  ...  contributions to the integration phase as well as the gamification engine that he created in order to enhance the user experience through the mobile application by which the users participated in the Demand-Response  ... 
doi:10.3390/en14144315 fatcat:5fgt6kmw2jdj7njtomku6v5mge

Learning from residential load data: Impacts on LV network planning and operation

A. Navarro, L. F. Ochoa, P. Mancarella
2012 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA)  
In addition, the adoption of photovoltaic panels, electric vehicles and smart appliances, already being encouraged by governments, will change the way households consume and generate electricity.  ...  Then, from the operational point of view, the benefits of load shifting (i.e., demand side management) to reduce peak demand are also investigated.  ...  Cable Selection -Load Factor equal to 0.20 Fig. 8 .Fig. 9 . 89 Demand profile of each appliance group -single household. Demand profile of each appliance group -100 households.  ... 
doi:10.1109/tdc-la.2012.6319101 fatcat:l435mdjxnnaonijjtpf6d3pyk4

Estimating the benefits of cooperation in a residential microgrid: A data-driven approach

Alexander Rieger, Robert Thummert, Gilbert Fridgen, Micha Kahlen, Wolfgang Ketter
2016 Applied Energy  
A capacity-pricing component can encourage reductions in peak demand. Cooperative demand response can benefit consumers and energy providers alike.  ...  h i g h l i g h t s Demand response puts pressure on energy providers to consider new pricing schemes. We introduce cooperative demand response. It can cut energy bills by 10%.  ...  Energy cooperatives can allow households to collectively optimize their energy systems and reduce their external dependencies, and can provide opportunities for effective demand side management (DSM).  ... 
doi:10.1016/j.apenergy.2016.07.105 fatcat:3apauuwbtzgynflbsyyrwn7kpy

High-Resolution Household Load Profiling and Evaluation of Rooftop PV Systems in Selected Houses in Qatar

Omar Alrawi, I. Safak Bayram, Sami G. Al-Ghamdi, Muammer Koc
2019 Energies  
In this study, a total of 10 houses in Qatar were chosen, and their power demand was monitored for over a year using smart energy monitors.  ...  Furthermore, household load profiles can be used to examine the viability of rooftop photovoltaic (PV) systems.  ...  Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the HBKU or QF.  ... 
doi:10.3390/en12203876 fatcat:dgzqlc2xhncqtiwmwq4v3ctmde

Heterogeneity of Electricity Consumption Patterns in Vulnerable Households

Gianluca Trotta, Kirsten Gram-Hanssen, Pernille Lykke Jørgensen
2020 Energies  
These profiles are discussed concerning the performance of everyday practices and the design of demand-side management strategies targeted at vulnerable households.  ...  electricity load patterns and their underlying drivers but has failed to investigate any consumption heterogeneity among similar households.  ...  more opportunities to gain greater control over their electricity expenditure and cut their electricity bills.  ... 
doi:10.3390/en13184713 fatcat:kmtjhvl6ovdqdd3vdbwamgcfx4

Appliance Operation Modes Identification Using Cycles Clustering [article]

Abdelkareem Jaradat, Hanan Lutfiyya, Anwar Haque
2021 arXiv   pre-print
in supporting DR by providing consumers the opportunity to select lighter appliance operation modes.  ...  The cycles of the Single Usage Profile (SUP) of an appliance are extracted and reformed into features in terms of clusters of cycles.  ...  A mechanism that is popular in many studies, Demand Response (DR), provides an opportunity for consumers to contribute in the reduction in electricity consumption by reducing their consumption or by shifting  ... 
arXiv:2101.10472v1 fatcat:uxu7s36dkvfpfpl7afg3n4wliu

What Can We Learn from the Household Electricity Survey?

Daniel Godoy-Shimizu, Jason Palmer, Nicola Terry
2014 Buildings  
What potential is there for shifting "peak load" so that electricity demand is more even through the day? Why is base load electricity use so high?  ...  For each home, metering was attached centrally to the distribution boards, and to key individual appliances.  ...  She carried out the research for a number of sections of the work, and was a co-author for each of the reports. She carried out the analysis included in this paper, and contributed to the text.  ... 
doi:10.3390/buildings4040737 fatcat:tnsozdgoanhrpp5gy7rixietj4

Particle Swarm Optimization in Residential Demand-Side Management: A Review on Scheduling and Control Algorithms for Demand Response Provision

Christoforos Menos-Aikateriniadis, Ilias Lamprinos, Pavlos S. Georgilakis
2022 Energies  
Demand response (DR) programs can increase the level of flexibility on the demand side by discriminating the consumption patterns of end-users from their typical profiles in response to market signals.  ...  The exploitation of artificial intelligence (AI) methods in demand response applications has attracted increasing interest in recent years.  ...  household appliances is the core focus in the majority of research works.  ... 
doi:10.3390/en15062211 fatcat:ornigsvuszdhlj5gjxvahd6j5a

LV distribution network voltage control mechanism: Analysis of large-scale field-test

Felix Hoornaert, Reinhilde D'hulst, Pieter Vingerhoets, Koen Vanthournout, Johan Driesen
2016 Sustainable Energy, Grids and Networks  
The control system was rolled out in the LINEAR residential demand response pilot in 85 families, and was tested  ...  The main goal of the voltage control system is to mitigate over-and under voltages in the feeder, and for that the readily available flexibility of residential smart appliances is used.  ...  Characterized by its scale (85 households) and its high level of integration, this pilot project gives an unique opportunity to test in the real life potential for demand response and to study user participation  ... 
doi:10.1016/j.segan.2015.11.008 fatcat:kqcskqhag5hdroei6biudzphnm
« Previous Showing results 1 — 15 out of 4,926 results