Search Results - "Gibescu, Madeleine"
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Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Published in Nature communications (19-06-2018)“…Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking…”
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2
On-Line Building Energy Optimization Using Deep Reinforcement Learning
Published in IEEE transactions on smart grid (01-07-2019)“…Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and…”
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Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service Management
Published in Energies (Basel) (01-06-2024)“…Offshore wind farms are growing in complexity and size, expanding deeper into maritime environments to capture stronger and steadier wind energy. Like other…”
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Impacts of Wind Power on Thermal Generation Unit Commitment and Dispatch
Published in IEEE transactions on energy conversion (01-03-2007)“…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…”
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Towards Software-Defined Protection, Automation, and Control in Power Systems: Concepts, State of the Art, and Future Challenges
Published in Energies (Basel) (01-12-2022)“…Nowadays, power systems’ Protection, Automation, and Control (PAC) functionalities are often deployed in different constrained devices (Intelligent Electronic…”
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A Real-Time Implementation and Testing of Virtualized Controllers for Software-Defined IEC 61850 Digital Substations
Published in IEEE open journal of industry applications (2024)“…This article implements and validates the performance of a virtual intelligent electronic device (vIED) framework for digital substations using a real-time…”
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Virtualized Protection, Automation, and Control in Electrical Substations: An Open-Source Dynamic Cost-Benefit Assessment Model
Published in IEEE access (2024)“…Virtualization has emerged as a promising technological solution for electrical substations, driven by the convergence of information and operational…”
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On the Sensitivity of Local Flexibility Markets to Forecast Error: A Bi-Level Optimization Approach
Published in Energies (Basel) (01-04-2020)“…The large-scale integration of intermittent distributed energy resources has led to increased uncertainty in the planning and operation of distribution…”
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Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation
Published in Energies (Basel) (01-07-2016)“…This paper presents a demand response (DR) framework that intertwines thermodynamic building models with a genetic algorithm (GA)-based optimization method…”
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10
An integrated blockchain-based energy management platform with bilateral trading for microgrid communities
Published in Applied energy (01-04-2020)“…•Optimal power flow and trading are combined in a single optimization problem.•A real dataset from a prosumer community in Amsterdam is used.•The role of a…”
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11
Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model
Published in Applied energy (01-03-2020)“…•A degradation-aware market participation model for stationary storage is proposed.•A non-linear degradation model is built from experimental data for Li-ion…”
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12
Gaussian Mixture Based Probabilistic Load Flow For LV-Network Planning
Published in IEEE transactions on power systems (01-07-2017)“…Due the many uncertainties present in the evolution of loads and distributed generation, the use of probabilistic load flow in low voltage (LV) networks is…”
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13
Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning
Published in Energy and buildings (15-03-2016)“…•We propose a new prediction method to model building energy consumption in Smart Grid.•It incorporates deep learning into reinforcement learning for…”
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14
Light robust co-optimization of energy and reserves in the day-ahead electricity market
Published in Applied energy (01-01-2024)“…To accommodate the stochasticity of variable renewable energy sources (VRES) while efficiently dispatching generation resources and procuring adequate…”
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15
Analysis of North Sea Offshore Wind Power Variability
Published in Resources (Basel) (01-06-2014)“…This paper evaluates, for a 2030 scenario, the impact on onshore power systems in terms of the variability of the power generated by 81 GW of offshore wind…”
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A Multi-Objective Optimization Approach to Risk-Constrained Energy and Reserve Procurement Using Demand Response
Published in IEEE transactions on power systems (01-07-2018)“…The large-scale integration of wind generation in power systems increases the need for reserve procurement in order to accommodate its highly uncertain nature,…”
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17
Short term wholesale electricity market designs: A review of identified challenges and promising solutions
Published in Renewable & sustainable energy reviews (01-05-2022)“…The electricity market is being increasingly challenged by new trends, such as the high penetration of intermittent renewables and the transformation of the…”
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18
A topological insight into restricted Boltzmann machines
Published in Machine learning (01-09-2016)“…Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for…”
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19
A methodology to generate power profiles of electric vehicle parking lots under different operational strategies
Published in Applied energy (01-07-2016)“…•Kernel density estimation is used to model the characteristics of the EV fleet.•A method to derive representative electricity price series is proposed.•Load…”
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A Community-Based Energy Market Design Using Decentralized Decision-Making Under Uncertainty
Published in IEEE transactions on smart grid (01-03-2021)“…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…”
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