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Many energy-intensive industries, like the steel industry, plan to switch to renewable energy sources. Other industries, such as the cement industry, have to rely on carbon capture utilization and storage (CCUS) technologies to reduce their…

Optimization and Control · Mathematics 2022-11-10 Jaap Pedersen , Thi Thai Le , Thorsten Koch , Janina Zittel

There is currently a large federal effort to decarbonize the country's electrical grid as part of the clean energy transition. The elimination of fossil fuel fired systems, and their replacement with intermittent renewable sources and other…

Systems and Control · Electrical Eng. & Systems 2024-10-29 Michael Huylo , Sina Taheri , Atila Novoselac

The concept of plug-in electric vehicles (PEV) are gaining increasing popularity in recent years, due to the growing societal awareness of reducing greenhouse gas (GHG) emissions, and gaining independence on foreign oil or petroleum.…

Optimization and Control · Mathematics 2015-03-19 Qiao Li , Tao Cui , Rohit Negi , Franz Franchetti , Marija D. Ilic

Climate change due to increasing carbon emissions by human activities has been identified as one of the most critical threat to Earth. Carbon neutralization, as a key approach to reverse climate change, has triggered the development of new…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-07 Chien-Sheng Yang , Chien-Chun Huang-Fu , I-Kang Fu

Meeting the ever-growing needs of the power grid requires constant infrastructure enhancement. There are two important aspects for a grid ability to ensure continuous and reliable electricity delivery to consumers: capacity, the maximum…

Optimization and Control · Mathematics 2024-07-08 Rene Carmona , Xinshuo Yang , Claire Zeng

Intermittent renewable energies are increasingly dominating electricity grids and are forecasted to be the main force driving out fossil fuels from the grid in most major economies until 2040. However, grids based on intermittent renewables…

General Economics · Economics 2025-04-05 Alona Zharova , Felix Creutzig

An increasing number of individuals, companies and organizations are interested in computing and minimizing the carbon emissions associated with their real-time electricity consumption. To achieve this, they require a carbon signal, i.e. a…

Systems and Control · Electrical Eng. & Systems 2025-01-27 Joe Gorka , Noah Rhodes , Line Roald

We study carbon-aware smart charging in a fossil-dominated grid by coupling a simplified hydro-thermal-renewable dispatch model with a tractable linear charging scheduler. The case study is informed by Vietnam's regional data. Thermal units…

Systems and Control · Electrical Eng. & Systems 2026-04-03 Giuseppe C. Calafiore , Luca Ambrosino , Khai Manh Nguyen , Minh Binh Vu , Riadh Zorgati , Laurent El Ghaoui

Electrification of transport is a key strategy in reducing carbon emissions. Many countries have adopted policies of complete but gradual transformation to electric vehicles (EVs). However, mass EV adoption also means a spike in load (kW),…

Signal Processing · Electrical Eng. & Systems 2021-01-27 Rahul Roy , Trivikram Dokka , David A. Ellis , Esther Dudek , Paul Barnfather

In spite of all advantages of solar energy, its deployment will significantly change the typical electric load profile, thus necessitating a change in traditional distribution grid management practices. In particular, the net load ramping,…

Systems and Control · Computer Science 2016-08-17 Alireza Majzoobi , Amin Khodaei

The importance of time series forecasting drives continuous research and the development of new approaches to tackle this problem. Typically, these methods are introduced through empirical studies that frequently claim superior accuracy for…

Machine Learning · Computer Science 2024-12-20 Luis Roque , Carlos Soares , Vitor Cerqueira , Luis Torgo

In recent years, there has been an increased emphasis on reducing the carbon emissions from electricity consumption. Many organizations have set ambitious targets to reduce the carbon footprint of their operations as a part of their…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-07 Diptyaroop Maji , Noman Bashir , David Irwin , Prashant Shenoy , Ramesh K. Sitaraman

Electric vehicles (EVs) are finally making their way onto the roads. However, the challenges concerning their long charging times and their impact on congestion of the power distribution grid are still waiting to be resolved. With…

Systems and Control · Electrical Eng. & Systems 2022-10-31 Emin Ucer , Mithat Kisacikoglu , Murat Yuksel , Ali C. Gurbuz

In an attempt to improve the utilization efficiency of multi-energy coupling in park-level integrated energy system (PIES), promote wind power consumption and reduce carbon emissions, a low-carbon economic operation optimization model of…

Systems and Control · Electrical Eng. & Systems 2023-03-08 Hongbin Sun , Xinmei Sun , Lei Kou , Benfa Zhang , Xiaodan Zhu

This paper examines the problem of optimizing the charging pattern of electric vehicles (EV) by taking real-time electricity grid carbon intensity into consideration. The objective of the proposed charging scheme is to minimize the carbon…

Systems and Control · Electrical Eng. & Systems 2022-09-27 Kai-Wen Cheng , Yuexin Bian , Yuanyuan Shi , Yize Chen

Accurate forecasting of the electrical load, such as the magnitude and the timing of peak power, is crucial to successful power system management and implementation of smart grid strategies like demand response and peak shaving. In…

Machine Learning · Computer Science 2024-11-26 Dafang Zhao , Xihao Piao , Zheng Chen , Zhengmao Li , Ittetsu Taniguchi

Electric trucks are increasingly deployed to reduce the trucking sector's carbon footprint, but their limited range and charging needs create operational challenges on mid- to long-haul routes. Truck platooning can mitigate range anxiety…

Optimization and Control · Mathematics 2025-11-18 Yilang Hao , Zhibin Chen

With the growing popularity of electric vehicles as a means of addressing climate change, concerns have emerged regarding their impact on electric grid management. As a result, predicting EV charging demand has become a timely and important…

Machine Learning · Computer Science 2026-04-01 Iason Kyriakopoulos , Yannis Theodoridis

"Geographic Load Balancing" is a strategy for reducing the energy cost of data centers spreading across different terrestrial locations. In this paper, we focus on load balancing among micro-datacenters powered by renewable energy sources.…

Performance · Computer Science 2016-12-13 Giovanni Neglia , Matteo Sereno , Giuseppe Bianchi

Assessing the energy consumption or carbon footprint of data distribution of video streaming services is usually carried out through energy or carbon intensity figures (in Wh or gCO2e per GB). In this paper, we first review the reasons why…

Computers and Society · Computer Science 2023-04-07 Gaël Guennebaud , Aurélie Bugeau , Antoine Dudouit