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To address the urgent challenge of climate change, there is a critical need to transition away from fossil fuels towards sustainable energy systems, with renewable energy sources playing a pivotal role. However, the inherent variability of…

Machine Learning · Computer Science 2024-04-05 Alvaro Carbonero , Shaowen Mao , Mohamed Mehana

This paper presents models for renewable energy systems with storage, and considers its optimal operation. We model and simulate wind and solar power production using stochastic differential equations as well as storage of the produced…

Optimization and Control · Mathematics 2022-12-20 Nicola Cantisani , Tobias K. S. Ritschel , Christian A. Thilker , Henrik Madsen , John Bagterp Jørgensen

The development of machine learned potentials for catalyst discovery has predominantly been focused on very specific chemistries and material compositions. While effective in interpolating between available materials, these approaches…

Mitigating the climate crisis requires a rapid transition towards lower-carbon energy. Catalyst materials play a crucial role in the electrochemical reactions involved in numerous industrial processes key to this transition, such as…

Machine Learning · Computer Science 2024-03-12 Alexandre Duval , Victor Schmidt , Santiago Miret , Yoshua Bengio , Alex Hernández-García , David Rolnick

The transition to sustainable energy is a key challenge of our time, requiring modifications in the entire pipeline of energy production, storage, transmission, and consumption. At every stage, new sequential decision-making challenges…

Machine Learning · Computer Science 2024-07-29 Koen Ponse , Felix Kleuker , Márton Fejér , Álvaro Serra-Gómez , Aske Plaat , Thomas Moerland

Energy storage devices represent environmentally friendly candidates to cope with volatile renewable energy generation. Motivated by the increase in privately owned storage systems, this paper studies the problem of real-time control of a…

Optimization and Control · Mathematics 2019-03-28 Ahmed S. Zamzam , Bo Yang , Nicholas D. Sidiropoulos

Efficient and inexpensive energy storage is essential for accelerating the adoption of renewable energy and ensuring a stable supply, despite fluctuations in sources such as wind and solar. Electrocatalysts play a key role in hydrogen…

Electrocatalysis provides an avenue for transitioning the global energy dependence from fossil fuels to renewable energy sources. While electrocatalytic reactions are being used for several decades, recently, there is a growing interest for…

Chemical Physics · Physics 2025-08-22 Varada Purohit , Avdhoot Datar

The sustainability of Machine Learning-Enabled Systems (MLS), particularly with regard to energy efficiency, is an important challenge in their development and deployment. Self-adaptation techniques, recognized for their potential in energy…

Software Engineering · Computer Science 2024-04-18 Meghana Tedla , Shubham Kulkarni , Karthik Vaidhyanathan

Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it demands advances at the levels of materials, devices, and systems for the efficient harvesting, storage, conversion, and management of renewable…

In the wake of the highly electrified future ahead of us, the role of energy storage is crucial wherever distributed generation is abundant, such as in microgrid settings. Given the variety of storage options that are becoming more and more…

Machine Learning · Computer Science 2021-03-26 S. Tsianikas , N. Yousefi , J. Zhou , M. Rodgers , D. W. Coit

The high variability of renewable energy resources presents significant challenges to the operation of the electric power grid. Conventional generators can be used to mitigate this variability but are costly to operate and produce carbon…

Optimization and Control · Mathematics 2012-04-13 Han-I Su , Abbas El Gamal

The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of renewable generation, thereby requiring the future scheduling…

Artificial Intelligence · Computer Science 2023-03-14 Shaohuai Liu , Jinbo Liu , Weirui Ye , Nan Yang , Guanglun Zhang , Haiwang Zhong , Chongqing Kang , Qirong Jiang , Xuri Song , Fangchun Di , Yang Gao

The new energy system constructed by energy storage and photovoltaic power generation system can effectively solve the problem of transformer overload operation in some enterprises. It can not only reduce the cost of electricity, but also…

Mathematical Physics · Physics 2024-08-22 Longjin Lv , Yuxian Han

As the energy landscape changes quickly, grid operators face several challenges, especially when integrating renewable energy sources with the grid. The most important challenge is to balance supply and demand because the solar and wind…

Machine Learning · Computer Science 2025-01-24 Kamal Sarkar

Energy storage devices, such as batteries, thermal energy storages, and hydrogen systems, can help mitigate climate change by ensuring a more stable and sustainable power supply. To maximize the effectiveness of such energy storage,…

Machine Learning · Computer Science 2024-05-21 Jaeik Jeong , Tai-Yeon Ku , Wan-Ki Park

A significant fraction (5-15%) of renewable energy generated goes into waste in the grids around the world today due to oversupply issues and transmission constraints. Being able to predict when and where renewable curtailment occurs would…

Systems and Control · Electrical Eng. & Systems 2024-05-30 Bilge Acun , Brent Morgan , Henry Richardson , Nat Steinsultz , Carole-Jean Wu

In the field of microgrids with a significant integration of Renewable Energy Sources, the efficient and practical power storage systems requirement is causing DC microgrids to gain increasing attention. However, uncertainties in power…

Optimization and Control · Mathematics 2023-03-14 Yanandlall Gopee , Margot Gaetani-Liseo , Anne Blavette , Guy Camilleri , Xavier Roboam , Corinne Alonso

As a core technology for green chemical synthesis and electrochemical energy storage, electrocatalysis is central to decarbonization strategies aimed at combating climate change. In this context, computational and machine learning driven…

Smart energy networks provide for an effective means to accommodate high penetrations of variable renewable energy sources like solar and wind, which are key for deep decarbonisation of energy production. However, given the variability of…

Systems and Control · Electrical Eng. & Systems 2022-08-29 Cephas Samende , Zhong Fan , Jun Cao
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