Marie-Laure Nivet
Artificial Intelligence · 2010–2018
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Electrical and Electronic Engineering — 21 citations into it
- Renewable Energy, Sustainability and the Environment — 18 citations into it
Whom Marie-Laure Nivet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Marie-Laure Nivet's perspective
Ordered by how strongly the researchers Marie-Laure Nivet trusts endorse each paper. Same corpus, a different order for every researcher.
- Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module
- Impacts of large-scale Intermittent Renewable Energy Sources on electricity systems, and how these can be modeled
- Capacity payments in imperfect electricity markets: Need and design
- Balancing power and variable renewables: Three links
- Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies
- Artificial intelligence techniques for photovoltaic applications: A review
- Providing all global energy with wind, water, and solar power, Part II: Reliability, system and transmission costs, and policies
- Integrating Variable Renewable Energy: Challenges and Solutions
- The mathematics of Markov models: what Markov chains can really predict in forest successions.
- First order Markov chain model for generating synthetic “typical days” series of global irradiation in order to design photovoltaic stand alone systems
Their papers
- Machine learning methods for solar radiation forecasting: A review (2017) — 1,563 citations
- Forecasting of preprocessed daily solar radiation time series using neural networks (2010) — 383 citations
- Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting (2018) — 489 citations