TY - GEN
T1 - DeMand: A tool for evaluating and comparing device-level demand and supply forecast models
AU - Neupane, Bijay
AU - Siksnys, Laurynas
AU - Pedersen, Torben Bach
PY - 2016
Y1 - 2016
N2 - Fine-grained device-level predictions of both shiftable and non-shiftable energy demand and supply is vital in order to take advantage of Demand Response (DR) for efficient utilization of Renewable Energy Sources. The selection of an effective device-level load forecast model is a challenging task, mainly due to the diversity of the models and the lack of proper tools and datasets that can be used to validate them. In this paper, we introduce the DeMand system for fine-tuning, analyzing, and validating the device-level forecast models. The system offers several built-in device-level measurement datasets, forecast models, features, and errors measures, thus semi-automating most of the steps of the forecast model selection and validation process. This paper presents the architecture and data model of the DeMand system; and provides a use-case example on how one particular forecast model for predicting a device state can be analyzed and validated using the DeMand system.
AB - Fine-grained device-level predictions of both shiftable and non-shiftable energy demand and supply is vital in order to take advantage of Demand Response (DR) for efficient utilization of Renewable Energy Sources. The selection of an effective device-level load forecast model is a challenging task, mainly due to the diversity of the models and the lack of proper tools and datasets that can be used to validate them. In this paper, we introduce the DeMand system for fine-tuning, analyzing, and validating the device-level forecast models. The system offers several built-in device-level measurement datasets, forecast models, features, and errors measures, thus semi-automating most of the steps of the forecast model selection and validation process. This paper presents the architecture and data model of the DeMand system; and provides a use-case example on how one particular forecast model for predicting a device state can be analyzed and validated using the DeMand system.
UR - http://www.scopus.com/inward/record.url?scp=84964434741&partnerID=8YFLogxK
M3 - Article in proceeding
AN - SCOPUS:84964434741
T3 - CEUR Workshop Proceedings
BT - Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference (EDBT/ICDT)
PB - Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V
T2 - EDBT/ICDT Joint Conference
Y2 - 15 March 2014 through 18 March 2016
ER -