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Simon Camal

Simon Camal
MINES ParisTech | ParisTech · Centre Procédés, Energies Renouvelables, Systèmes Énergétiques (PERSEE)

PhD
Project Manager European Project Smart4RES

About

19
Publications
2,290
Reads
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110
Citations
Introduction
Additional affiliations
October 2016 - present
MINES ParisTech
Position
  • PhD Student

Publications

Publications (19)
Article
Full-text available
With the increasing penetration of renewables, the power system is facing unprecedented challenges of low-inertia levels. The inherent ability of the system to defense disturbance and power imbalance through inertia response is degraded, and thus, system operators need to make faster and more efficient scheduling operations. As one of the most prom...
Article
Virtual power plants aggregating multiple renewable energy sources such as Photovoltaics and Wind are promising candidates for the provision of balancing ancillary services. A requisite for the provision of these services is that forecasts of aggregated production need to be highly reliable in order to minimize the risk of not providing the service...
Preprint
Full-text available
Power systems feature an inherent hierarchical structure. Ensuring that forecasts across a hierarchy are coherent presents an important challenge in energy forecasting. In this context , proposed reconciliation or end-to-end learning approaches assume coherent historical observations by construction; this assumption , however, is often violated in...
Article
Deriving decisions from data typically involves a sequential process with two components, forecasting and optimization. Forecasting models learn by minimizing a loss function that stands as a proxy for task-specific costs without considering the downstream optimization, which hinders performance and obscures the impact of data on decisions. This wo...
Preprint
Full-text available
Decision-making in the presence of contextual information is a ubiquitous problem in modern power systems. The typical data-decisions pipeline comprises several forecasting and optimization components deployed in sequence. However, the loss function employed during learning is only a proxy for task-specific costs (e.g. scheduling, trading). This wo...
Presentation
Full-text available
The aim of this paper is to present the objectives, research directions and first highlight results of the Smart4RES project, which was launched in November 2019, under the Horizon 2020 Framework Programme. Smart4RES is a research project that aims to bring substantial performance improvements to the whole model and value chain in renewable energy...
Conference Paper
The aim of this paper is to present the objectives, research directions and first highlight results of the Smart4RES project, which was launched in November 2019, under the Horizon 2020 Framework Programme. Smart4RES is a research project that aims to bring substantial performance improvements to the whole model and value chain in renewable energy...
Thesis
Full-text available
As variable renewable energy plants penetrate significantly the electricity generation mix, they are expected to contribute to the supply of reserve power, albeit the high uncertainty levels on their production. A solution to reduce the uncertainty consists in aggregating renewable plants dispersed over several climates to obtain a smoother product...
Article
Full-text available
This paper proposes a methodology for an efficient generation of correlated scenarios of Wind, Photovoltaics (PV) and small Hydro production considering the power system application at hand. The merits of scenarios obtained from a direct probabilistic forecast of the aggregated production are compared with those of scenarios arising from separate p...
Article
Full-text available
This paper presents a new forecast approach for ancillary services delivered by aggregated renewable power plants. The increasing penetration of distributed weather-dependent renewable generation challenges grid operators. Wind and photovoltaic power plants are technically able to provide ancillary services, but their stochastic behavior hinders cu...
Conference Paper
Full-text available
This paper presents the initial findings on a new forecast approach for ancillary services delivered by aggregated renewable power plants. The increasing penetration of distributed variable generators challenges grid reliability. Wind and photovoltaic power plants are technically able to provide ancillary services, but their stochastic behavior cur...

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Projects

Projects (2)
Project
Smart4RES aims to bring substantial performance improvements to the whole model and value chain in renewable energy (RES) forecasting, with particular emphasis placed on optimizing synergies with storage and to support power system operation and participation in electricity markets. This is thought in a context of steady increase inthe quantity of data being collected and computational capabilities and comes in combination with recent advances in meteorological forecasting and data science.