Gebruikersprofielen voor "Gibescu, M. "
Madeleine GibescuProfessor of Intermittent Renewable Energy, Utrecht University Geverifieerd e-mailadres voor uu.nl Geciteerd door 7965 |
On-line building energy optimization using deep reinforcement learning
Unprecedented high volumes of data are becoming available with the growth of the advanced
metering infrastructure. These are expected to benefit planning and operation of the future …
metering infrastructure. These are expected to benefit planning and operation of the future …
Impacts of wind power on thermal generation unit commitment and dispatch
BC Ummels, M Gibescu, E Pelgrum… - IEEE Transactions …, 2007 - ieeexplore.ieee.org
This paper proposes a new simulation method that can fully assess the impacts of large-scale
wind power on system operations from cost, reliability, and environmental perspectives. …
wind power on system operations from cost, reliability, and environmental perspectives. …
Deep learning for estimating building energy consumption
To improve the design of the electricity infrastructure and the efficient deployment of distributed
and renewable energy sources, a new paradigm for the energy supply chain is emerging, …
and renewable energy sources, a new paradigm for the energy supply chain is emerging, …
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Through the success of deep learning in various domains, artificial neural networks are currently
among the most used artificial intelligence methods. Taking inspiration from the network …
among the most used artificial intelligence methods. Taking inspiration from the network …
[HTML][HTML] An integrated blockchain-based energy management platform with bilateral trading for microgrid communities
In this paper, an integrated blockchain-based energy management platform is proposed
that optimizes energy flows in a microgrid whilst implementing a bilateral trading mechanism. …
that optimizes energy flows in a microgrid whilst implementing a bilateral trading mechanism. …
Operating reserves and wind power integration: An international comparison
Operating Reserves and Wind Power Integration; An International Comparision: Preprint Page
1 NREL is a national laboratory of the US Department of Energy, Office of Energy Efficiency & …
1 NREL is a national laboratory of the US Department of Energy, Office of Energy Efficiency & …
[HTML][HTML] Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning
In a future Smart Grid context, increasing challenges in managing the stochastic local
energy supply and demand are expected. This increased the need of more accurate energy …
energy supply and demand are expected. This increased the need of more accurate energy …
[HTML][HTML] Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model
Given their technological and market maturity, lithium-ion batteries are increasingly being
considered and used in grid applications to provide a host of services such as frequency …
considered and used in grid applications to provide a host of services such as frequency …
A review of multi-energy system planning and optimization tools for sustainable urban development
I Van Beuzekom, M Gibescu… - 2015 IEEE Eindhoven …, 2015 - ieeexplore.ieee.org
Implementing renewable energy resources to enable sustainable development of cities,
requires a more flexible and re-silient energy system than currently present. Integrating multiple …
requires a more flexible and re-silient energy system than currently present. Integrating multiple …
A community-based energy market design using decentralized decision-making under uncertainty
JL Crespo-Vazquez, T AlSkaif… - … on Smart Grid, 2020 - ieeexplore.ieee.org
Moving to a user-centric approach is seen as a key change of paradigm in order to increase
the efficiency and sustainability of energy systems. Massive integration of new economic …
the efficiency and sustainability of energy systems. Massive integration of new economic …