Search Results for author: Torben Bach Pedersen

Found 7 papers, 3 papers with code

Domain Adaptation for Time series Transformers using One-step fine-tuning

no code implementations12 Jan 2024 Subina Khanal, Seshu Tirupathi, Giulio Zizzo, Ambrish Rawat, Torben Bach Pedersen

To address these limitations, in this paper, we pre-train the time series Transformer model on a source domain with sufficient data and fine-tune it on the target domain with limited data.

Domain Adaptation Time Series +1

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis

no code implementations10 Sep 2022 Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen

The continued digitization of societal processes translates into a proliferation of time series data that cover applications such as fraud detection, intrusion detection, and energy management, where anomaly detection is often essential to enable reliability and safety.

energy management Fraud Detection +5

Multi-Source Spatial Entity Linkage

1 code implementation20 Nov 2019 Suela Isaj, Torben Bach Pedersen, Esteban Zimányi

Besides the traditional cartographic data sources, spatial information can also be derived from location-based sources.

Databases

Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB+

1 code implementation25 Mar 2019 Søren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen

We present the first MMGC method GOLEMM and extend model types to compress time series groups.

Databases

Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices

no code implementations9 May 2018 Davide Frazzetto, Bijay Neupane, Torben Bach Pedersen, Thomas Dyhre Nielsen

First, DR schemes are highly demanding for the users, as users need to provide direct information, e. g. via surveys, on their energy consumption preferences.

Scheduling

Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version

no code implementations2 May 2018 Bijay Neupane, Torben Bach Pedersen, Bo Thiesson

In a typical device-level flexibility forecast, a market player is more concerned with the \textit{utility} that the demand flexibility brings to the market, rather than the intrinsic forecast accuracy.

Scheduling

Time Series Management Systems: A Survey

2 code implementations3 Oct 2017 Søren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen

The collection of time series data increases as more monitoring and automation are being deployed.

Databases G.1.2; D.2.11; E.4; E.2; E.1; H.2; H.2.4; C.2.4; H.2.8; G.3

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