Gebruikersprofielen voor "Gibescu, M. "

Madeleine Gibescu

Professor of Intermittent Renewable Energy, Utrecht University
Geverifieerd e-mailadres voor uu.nl
Geciteerd door 7574

On-line building energy optimization using deep reinforcement learning

E Mocanu, DC Mocanu, PH Nguyen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …

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. …

Deep learning for estimating building energy consumption

E Mocanu, PH Nguyen, M Gibescu, WL Kling - Sustainable Energy, Grids …, 2016 - Elsevier
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, …

[HTML][HTML] Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

DC Mocanu, E Mocanu, P Stone, PH Nguyen… - Nature …, 2018 - nature.com
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 …

[HTML][HTML] An integrated blockchain-based energy management platform with bilateral trading for microgrid communities

G van Leeuwen, T AlSkaif, M Gibescu, W van Sark - Applied Energy, 2020 - Elsevier
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. …

Operating reserves and wind power integration: An international comparison

M Milligan, P Donohoo, D Lew, E Ela, B Kirby… - 2010 - osti.gov
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 & …

[HTML][HTML] Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning

E Mocanu, PH Nguyen, WL Kling, M Gibescu - Energy and Buildings, 2016 - Elsevier
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 …

[HTML][HTML] Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model

A Maheshwari, NG Paterakis, M Santarelli, M Gibescu - Applied Energy, 2020 - Elsevier
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 …

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 …

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 …