[Iefac.list] Fwd: CFP: International Symposium on Energy Analytics

[Tao Hong]

Dear colleagues,

Just a kind reminder about ISEA2017. The blog post was just updated with a
video clip of Cairns and the publication dates of a special issue of Power
and Energy Magazine.
Please find the new version from this link: https://urldefense.proofpoint.com/v2/url?u=http-3A__blog.drhongtao&d=CwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=pMnpwHidGb7zpDbKv_829yZFcz_fN2SaTabHlI5SOro&s=ptDym7leZJe1gBI_c5Eksez8HmSxheGsPT0KiPCCNcY&e= .
com/2016/05/2017-international-symposium-on-energy-analytics.html

Regards,
Tao
www.drhongtao.com

On Thu, May 26, 2016 at 2:23 PM, Tao Hong <hongtao01 at gmail.com> wrote:

> Dear colleagues,
>
> Please find the CFP for the 2017 International Symposium on Energy
> Analytics below. The theme is Predictive Energy Analytics in the Big Data
> World. Selected papers will be published by the International Journal of
> Forecasting.
>
> Regards,
> Tao
> www.drhongtao.com
>
> Begin forwarded message:
>
>
> Call For Papers: 2017 International Symposium on Energy Analytics
> (ISEA2017)
> <https://urldefense.proofpoint.com/v2/url?u=http-3A__feedproxy.google.com_-7Er_EnergyForecasting_-7E3_THl0sR5NTAc_2017-2Dinternational-2Dsymposium-2Don-2Denergy-2Danalytics.html-3Futm-5Fsource-3Dfeedburner-26utm-5Fmedium-3Demail&d=CwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=pMnpwHidGb7zpDbKv_829yZFcz_fN2SaTabHlI5SOro&s=met9e7szxrRdkCRlWTeO4sB1LXXej_0tq1iMsOwhoSw&e= >
>
> Posted: 21 May 2016 09:20 AM PDT
> *2017 International Symposium on Energy Analytics*
> (ISEA2017 <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.drhongtao.com_isea&d=CwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=pMnpwHidGb7zpDbKv_829yZFcz_fN2SaTabHlI5SOro&s=7EbR-m7BxS-0iChzpk94JSymRRCKgp8_6phbnUKDDxM&e= >)
>
> Predictive Energy Analytics in the Big Data World
>
> Modern information and communication technologies have brought big data to
> virtually every segment of the energy and utility industries. While
> predictive analytics is an important and necessary step in the data-driven
> decision-making process, how to generate better forecasts in the big data
> world is an emerging issue and challenge to both industry and academia.
>
> This symposium aims at bringing forecasting experts and practitioners
> together to share experiences and best practices on a wide range of
> important business problems in the energy industry. Here the energy
> industry broadly covers utilities, oil, gas and mining industries. The
> subjects to be forecasted range from supply, demand and price, to
> asset/system condition and customer count. The topics of interest include
> but are not limited to:
> • Probabilistic energy forecasting
> • Hierarchical energy forecasting
> • High-dimensional energy forecasting
> • High-frequency and high-resolution energy forecasting
> • Equipment failure prediction
> • Power systems fault prediction
> • Automatic outlier detection
> • Load profiling
> • Customer segmentation
> • Customer churn prediction
>
> Selected papers will be published in a special section of the
> International Journal of Forecasting (IJF). If you are interested in
> contributing a presentation to this symposium, please submit a one-page
> extended abstract to both guest editors via email with the subject line
> “ISEA2017 Abstract Submission”. Authors of selected abstracts will be
> invited to submit full papers to the IJF.
>
> Important dates
> • Abstract submission - January 15, 2017
> • Abstract acceptance - February 15, 2017
> • Paper submission for consideration of journal publication - May 31, 2017
> • ISEA2017 - June 22-23, 2017
> • ISF2017 - June 25-28, 2017
> • First round review completion - August 31, 2017
> • IJF special section publication - 2018
>
> Guest Editors:
> Tao Hong, University of North Carolina at Charlotte, USA (hong at uncc.edu)
> Pierre Pinson, Technical University of Denmark, Denmark (
> ppin at elektro.dtu.dk)
>
> Editor-in-Chief
> Rob J Hyndman, Monash University, Australia
> International Journal of Forecasting
>
>
>
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