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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics and provide an opportunity for delegates to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please, join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO117: Next Generation Forecasting Solutions for Wind Energy - Results from the Smart4RES Project.
Georges Kariniotakis, Prof., Head of Renewables and SmartGrids. Coordinator of Smart4RES, Mines Paris - PSL
Abstract
Forecasting variable renewable energy (RES) production, and namely wind power, is a quite mature technology. The majority of actors (grid operators, aggregators, traders...) use today operational forecasting tools and services to optimize their decisions related to wind power integration in power systems and electricity markets. The horizons of interest are a few minutes to a few days ahead. Despite that maturity, RES forecasting is a very active field of research internationally due to the high level of uncertainty (mainly from weather conditions), the increasing number of emerging use cases in power systems that involve development of new forecasting products and the need to continously improve accuracy especially in systems with high RES penetration. In fact, wind power prediction errors may reach very high levels (i.e. above 50%) especially in situations of weather fronts, ramps etc, and these may have a potentially high impact to the grid and result in financial losses in the markets. The H2020 Smart4RES project was initiated in 2019 to develop next generation forecasting solutions with increased forecasting performance and also innovative approaches to leverage the value (technical or economic) of forecasts by considering the whole model chain from weather forecasting to end-use applications. The project which will be completed in 2023 has followed some disruptive directions of research. In this Conference we will present the final results both regarding forecasting and also the optimal use of forecasts in a broad range of applications that range from grid management to storage/RES hybrid plant management and trading to multiple markets.
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