What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
The scientist’s investigation covers issues in Wind power, Wind power forecasting, Electricity, Meteorology and Probabilistic forecasting.
His studies in Wind power integrate themes in fields like Operating reserve, Reliability engineering, Kernel density estimation, Mathematical optimization and Renewable energy.
His work deals with themes such as Algorithm, Square error, Machine learning and Economic forecasting, which intersect with Wind power forecasting.
His study on Electricity market is often connected to News aggregator as part of broader study in Electricity.
Ricardo J. Bessa combines subjects such as SCADA and Industrial engineering with his study of Meteorology.
His Probabilistic forecasting study is related to the wider topic of Probabilistic logic.
His most cited work include:
- Wind power forecasting uncertainty and unit commitment (256 citations)
- Wind power forecasting : state-of-the-art 2009. (250 citations)
- Methodologies to Determine Operating Reserves Due to Increased Wind Power (210 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Wind power, Electricity market, Wind power forecasting, Probabilistic logic and Electricity.
His research in Wind power intersects with topics in Operating reserve, Reliability engineering, Econometrics, Mathematical optimization and Operations research.
His Mathematical optimization research incorporates themes from Quantile regression and Distributed generation.
His study in Electricity market is interdisciplinary in nature, drawing from both Bidding, Demand forecasting, Environmental economics and Industrial organization.
His study looks at the relationship between Wind power forecasting and topics such as Power system simulation, which overlap with Simulation.
Ricardo J. Bessa studies Probabilistic logic, namely Probabilistic forecasting.
He most often published in these fields:
- Wind power (33.33%)
- Electricity market (23.40%)
- Wind power forecasting (18.44%)
What were the highlights of his more recent work (between 2019-2021)?
- Renewable energy (12.06%)
- Information privacy (7.09%)
- Probabilistic logic (17.73%)
In recent papers he was focusing on the following fields of study:
His main research concerns Renewable energy, Information privacy, Probabilistic logic, Electricity and Task.
His work in the fields of Renewable energy, such as Distributed generation, overlaps with other areas such as Data sharing and Distribution system.
His work carried out in the field of Probabilistic logic brings together such families of science as Distribution grid, Reliability engineering, AC power and Transmission system operator.
He interconnects Econometrics and Cluster analysis in the investigation of issues within Electricity.
His study looks at the intersection of Production and topics like Industrial organization with Electricity market.
Environmental economics is closely attributed to Wind power in his study.
Between 2019 and 2021, his most popular works were:
- The future of forecasting for renewable energy (23 citations)
- Forecasting: theory and practice (8 citations)
- The future of power systems: Challenges, trends, and upcoming paradigms (6 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
Renewable energy, Probabilistic forecasting, Wind power, Renewable generation and Telecommunications are his primary areas of study.
Ricardo J. Bessa has included themes like Business model, Forecast skill and Risk analysis in his Renewable energy study.
His Probabilistic forecasting study is concerned with the larger field of Probabilistic logic.
The Wind power study combines topics in areas such as Estimator and Environmental economics.
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