Speaker: Bijay Neupane
Time: 12:00 pm, Friday 11, March, 2016
Location: 0.2.12
Monday, March 7, 2016
DeMand : A Tool for Evaluating and Comparing Device-Level Demand and Supply Forecast Models
Abstract: 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 articular forecast model for predicting a device state can be analyzed and validated using
the DeMand system.
Subscribe to:
Posts (Atom)