A5001113925- Smart Grid Energy Management
- Energy Efficiency and Management
- Music and Audio Processing
- Hearing Loss and Rehabilitation
- Energy Load and Power Forecasting
- Noise Effects and Management
- Infrastructure Maintenance and Monitoring
- Economic and Technological Systems Analysis
- Smart Materials for Construction
- Building Energy and Comfort Optimization
- Time Series Analysis and Forecasting
- Power Line Communications and Noise
- Smart Grid Security and Resilience
- Music Technology and Sound Studies
- Electric Power System Optimization
- Acoustic Wave Phenomena Research
- Microgrid Control and Optimization
- Advanced Adaptive Filtering Techniques
- Electric Vehicles and Infrastructure
- Linguistic research and analysis
- Blockchain Technology Applications and Security
- Anomaly Detection Techniques and Applications
Technical University of Denmark
2015-2020
Delta (Denmark)
2010
Increased emphasis is placed today on various types of demand response, motivated by the integration renewable energy generation and efficiency improvements in electricity markets. Some advocated for development price-based approaches, where conditional dynamic elasticity final users exploited power system, e.g., system balancing. However, very few real-world experiments have been carried out response has consistently found difficult to assess quantify. It our aim here describe an approach...
This papers explores the perceptual characteristics associated with application of active noise cancelation (ANC) technologies to headphones. In this popular application, both performance is evaluated in & also impact on perception music reproduction noise. Environmental scenarios were reproduced from B-format recording over a 5-channel loudspeaker setup an anechoic chamber ANC headphones placed head torso simulator. From binaural recordings music-in-noise sensory evaluation was performed by...
Battery energy storage systems (BESS) can be used for ancillary services like frequency containment reserve (FCR), which generate a significantly higher revenue than arbitrage. Different FCR differ in revenues and throughput, induces costs due to conversion losses, tariffs, but it also leads significant number of battery cycles that reduce the capacity over time. The normal operation (FCR-N) had highest past years, comes along with throughput disturbance (FCR-D) has lower price. Based on...
Analysis of load behavior in demand response (DR) schemes is important to evaluate the performance participants. Very few real-world experiments have been carried out and quantification characterization a difficult task. Nevertheless it will be necessary tool for portfolio management consumers DR framework. In this paper we develop methods quantify characterize amount load. The contribution aggregated from each household quantified on daily basis, showing potential variability time....
Smart meters allow utilities to gain access tremendous amount of metering data, from which they can improve their knowledge on customers. In this paper, we propose a method detect and characterize domestic heat pumps household power consumption data. Appliance detection is not trivial task, owing the variability in pump load dynamics distortion signature by other appliances. Compared State-of-the-art methodologies that relies energy disaggregation with supervised learning high-resolution...
Congestion management can delay grid reinforcements needed due to the growth of distributed technologies like photovoltaics and electric vehicles. This paper presents a method congestion for low voltage feeders using indirect control from smart demonstration EcoGrid EU, where five minute electricity pricing is sent demand. A forecasting demand generating prices in market framework presented, novel mechanism ensure are fair customers who cannot participate developed. The proposed currently...