DeMand: A tool for evaluating and comparing device-level demand and supply forecast models

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference (EDBT/ICDT)
Number of pages6
PublisherRheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V
Publication date2016
Publication statusPublished - 2016
EventEDBT/ICDT Joint Conference - Bordeaux, France, Bordeaux, France
Duration: 15 Mar 201418 Mar 2016


ConferenceEDBT/ICDT Joint Conference
LocationBordeaux, France
SeriesCEUR Workshop Proceedings


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