End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts

O. Erdinc; A. Tascikaraoglu; N.G. Paterakis; Y. Eren; J. Catalao

doi:10.1109/PESGM.2017.8274516

End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts

O. Erdinc, A. Tascikaraoglu, N.G. Paterakis, Y. Eren, J. Catalao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

abstract only

Original language	English
Title of host publication	2017 IEEE Power Energy Society General Meeting
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-1
Number of pages	1
DOIs	https://doi.org/10.1109/PESGM.2017.8274516
Publication status	Published - 1 Jul 2017
Event	2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, IL USA, Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017 http://www.pes-gm.org/2017 http://www.pes-gm.org/2017/

Conference

Conference	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Abbreviated title	PESGM 2017
Country/Territory	United States
City	Chicago
Period	16/07/17 → 20/07/17
Internet address	http://www.pes-gm.org/2017 http://www.pes-gm.org/2017/

Keywords

demand side management
domestic appliances
HVAC
smart power grids
thermostats
HVAC thermostats
residential heating ventilation and air conditioning units
end-user comfort oriented day-ahead planning
heat index
spatiotemporal forecasting approach
responsive residential HVAC demand aggregation
thermostatically-controllable appliances
demand response strategies
weather forecasts
HVAC units
load rebound effect
contracted DR period
load factor
enrolled end-users
load serving entity
DR event related requirements
DR program
temperature set-point
end-user comfort violation minimization oriented DR strategy
Heating systems
Planning
Weather forecasting
Load management
Frequency control
Minimization

Access to Document

10.1109/PESGM.2017.8274516

Cite this

@inproceedings{b358f9197bac4b06ad35af5ba53f571c,

title = "End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts",

abstract = "abstract only",

keywords = "demand side management, domestic appliances, HVAC, smart power grids, thermostats, HVAC thermostats, residential heating ventilation and air conditioning units, end-user comfort oriented day-ahead planning, heat index, spatiotemporal forecasting approach, responsive residential HVAC demand aggregation, thermostatically-controllable appliances, demand response strategies, weather forecasts, HVAC units, load rebound effect, contracted DR period, load factor, enrolled end-users, load serving entity, DR event related requirements, DR program, temperature set-point, end-user comfort violation minimization oriented DR strategy, Heating systems, Planning, Weather forecasting, Load management, Frequency control, Minimization",

author = "O. Erdinc and A. Tascikaraoglu and N.G. Paterakis and Y. Eren and J. Catalao",

year = "2017",

month = jul,

day = "1",

doi = "10.1109/PESGM.2017.8274516",

language = "English",

pages = "1--1",

booktitle = "2017 IEEE Power Energy Society General Meeting",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2017 IEEE Power and Energy Society General Meeting, PESGM 2017, PESGM 2017 ; Conference date: 16-07-2017 Through 20-07-2017",

url = "http://www.pes-gm.org/2017, http://www.pes-gm.org/2017/",

}

Erdinc, O, Tascikaraoglu, A, Paterakis, NG, Eren, Y & Catalao, J 2017, End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts. in 2017 IEEE Power Energy Society General Meeting. Institute of Electrical and Electronics Engineers, Piscataway, pp. 1-1, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 16/07/17. https://doi.org/10.1109/PESGM.2017.8274516

End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts. / Erdinc, O.; Tascikaraoglu, A.; Paterakis, N.G. et al.

2017 IEEE Power Energy Society General Meeting. Piscataway : Institute of Electrical and Electronics Engineers, 2017. p. 1-1.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts

AU - Erdinc, O.

AU - Tascikaraoglu, A.

AU - Paterakis, N.G.

AU - Eren, Y.

AU - Catalao, J.

PY - 2017/7/1

Y1 - 2017/7/1

N2 - abstract only

AB - abstract only

KW - demand side management

KW - domestic appliances

KW - HVAC

KW - smart power grids

KW - thermostats

KW - HVAC thermostats

KW - residential heating ventilation and air conditioning units

KW - end-user comfort oriented day-ahead planning

KW - heat index

KW - spatiotemporal forecasting approach

KW - responsive residential HVAC demand aggregation

KW - thermostatically-controllable appliances

KW - demand response strategies

KW - weather forecasts

KW - HVAC units

KW - load rebound effect

KW - contracted DR period

KW - load factor

KW - enrolled end-users

KW - load serving entity

KW - DR event related requirements

KW - DR program

KW - temperature set-point

KW - end-user comfort violation minimization oriented DR strategy

KW - Heating systems

KW - Planning

KW - Weather forecasting

KW - Load management

KW - Frequency control

KW - Minimization

U2 - 10.1109/PESGM.2017.8274516

DO - 10.1109/PESGM.2017.8274516

M3 - Conference contribution

SP - 1

EP - 1

BT - 2017 IEEE Power Energy Society General Meeting

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017

Y2 - 16 July 2017 through 20 July 2017

ER -

End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts

Abstract

Conference

Keywords

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Cite this