A5054421707- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Integrated Energy Systems Optimization
- Advanced Control Systems Optimization
- Electric Power System Optimization
- Meteorological Phenomena and Simulations
- Diabetes Management and Research
- Energy Efficiency and Management
- Hydrology and Watershed Management Studies
- Control Systems and Identification
- Fault Detection and Control Systems
- Wind and Air Flow Studies
- Pancreatic function and diabetes
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Wind Energy Research and Development
- Reservoir Engineering and Simulation Methods
- Hydrology and Drought Analysis
- Microgrid Control and Optimization
- Diabetes and associated disorders
- Solar Radiation and Photovoltaics
- Climate variability and models
- Water Systems and Optimization
- Flood Risk Assessment and Management
University College Dublin
2025
Technical University of Denmark
2015-2024
Norwegian University of Science and Technology
2012-2024
DHI
2003-2023
Agricultural Research Center
2022
Benha University
2022
Zagazig University
2022
South Valley University
2022
New Valley University
2022
University of Chittagong
2022
Abstract Short‐term (up to 2–3 days ahead) probabilistic forecasts of wind power provide forecast users with highly valuable information on the uncertainty expected generation. Whatever type these forecasts, they are produced a per horizon basis, and hence do not inform development through series. However, this additional may be paramount for large class time‐dependent multistage decision‐making problems, e.g. optimal operation combined wind‐storage systems or multiple‐market trading...
Short-term wind power prediction is a primary requirement for efficient large-scale integration of generation in systems and electricity markets. The choice an appropriate model among the numerous available models not trivial, has to be based on objective evaluation performance. This paper proposes standardized protocol short-term windpower systems. A number reference are also described, their use performance comparison analysed. demonstrated, using results from both on-shore offshore farms....
The large penetration rate of renewable energy sources leads to challenges in planning and controlling the production, transmission, distribution power systems. A potential solution is found a paradigm shift from traditional supply control demand control. To address such changes, first step lays formal robust characterization flexibility on side. most common way characterize by considering it as static function at every time instant. validity this approach questionable because energy-based...
Model Predictive Control (MPC) can be used to control a system of energy producers and consumers in Smart Grid. In this paper, we use heat pumps for heating residential buildings with floor system. We the thermal capacity building shift consumption periods low electricity prices. way house becomes flexible power consumer This scenario is relevant systems significant share stochastic producers, e.g. wind turbines, where ability according production crucial. present model ground source based...
Demand-side flexibility will play a key role in reaching high levels of renewable generation and making the transition to more sustainable energy system. Indeed, end users can actively contribute grid balancing management, if equipped with management systems communication infrastructure. Demand response programmes encompass broad range load measures, such as direct or indirect control, aimed at adapting users' consumption needs. However, potential demand side has not yet been fully...
Abstract The threshold level approach is used to define drought characteristics, i.e. duration and deficit volume from time series of daily streamflow. Three different procedures for pooling dependent droughts are compared: a method based on an inter-event criterion (IC), moving average procedure (MA), the sequent peak algorithm (SPA). extreme values analysed using both annual maximum (AMS) partial (PDS) approach. Two Danish catchments with very flow regimes were in study. IC MA methods...
Abstract Predictions of wind power production for horizons up to 48–72 h ahead comprise a highly valuable input the methods daily management or trading generation. Today, users predictions are not only provided with point predictions, which estimates conditional expectation generation each look‐ahead time, but also uncertainty given by probabilistic forecasts. In order avoid assumptions on shape predictive distributions, these produced from non‐parametric methods, and then take form single...
This paper deals with power fluctuations from wind farms. The time range in focus is between one minute and up to a couple of hours. In this range, substantial have been observed during unstable weather conditions. A fluctuation model described, measured series the first large offshore farm, Horns Rev Denmark, are compared simulated series. comparison focuses on ramping characteristics farm at different levels need for system generation reserves due fluctuations. shows reasonable agreement...
Abstract For operational planning it is important to provide information about the situation‐dependent uncertainty of a wind power forecast. Factors which influence forecast include predictability actual meteorological situation, level predicted speed (due non‐linearity curve) and horizon. With respect situation number explanatory variables are considered, some inspired by literature. The article contains an overview related work within field. An existing forecasting system (Zephyr/WPPT)...