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Related papers: Review of Low Voltage Load Forecasting: Methods, A…

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Efficient load forecasting is needed to ensure better observability in the distribution networks, whereas such forecasting is made possible by an increasing number of smart meter installations. Because distribution networks include a large…

Machine Learning · Computer Science 2022-04-04 Miha Grabner , Yi Wang , Qingsong Wen , Boštjan Blažič , Vitomir Štruc

Under conditions of high penetration of renewables, the low-voltage (LV) distribution network needs to be carefully managed. In such a scenario, an accurate real-time low-voltage power network model is an important prerequisite, which opens…

Optimization and Control · Mathematics 2019-06-19 Sergey Iakovlev , Robin J. Evans , Iven Mareels

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

One of the most important goals of the 21st century is to change radically the way our society produces and distributes energy. This broad objective embodies in the smart grid's futuristic vision of a completely decentralized system powered…

Systems and Control · Computer Science 2013-05-20 Nicolas Gensollen , Vincent Gauthier , Michel Marot , Monique Becker

This paper addresses the use of smart-home sensor streams for continuous prediction of energy loads of individual households which participate as an agent in local markets. We introduces a new device level energy consumption dataset…

Machine Learning · Computer Science 2017-08-16 Christoph Doblander , Martin Strohbach , Holger Ziekow , Hans-Arno Jacobsen

Electric energy is difficult to store, requiring stricter control over its generation, transmission, and distribution. A persistent challenge in power systems is maintaining real-time equilibrium between electricity demand and supply.…

Signal Processing · Electrical Eng. & Systems 2025-05-27 Aurausp Maneshni

The transition to a fully renewable energy grid requires better forecasting of demand at the low-voltage level to increase efficiency and ensure reliable control. However, high fluctuations and increasing electrification cause huge forecast…

Machine Learning · Computer Science 2023-06-16 Marcel Arpogaus , Marcus Voss , Beate Sick , Mark Nigge-Uricher , Oliver Dürr

Integration of electronics-based residential appliances and distributed energy resources in homes is expected to rise with grid decarbonization. These devices may introduce significant harmonics into power networks that need to be closely…

Signal Processing · Electrical Eng. & Systems 2021-11-08 Ankit Singhal , Dexin Wang , Andrew P. Reiman , Yuan Liu , Donald J. Hammerstrom , Soumya Kundu

The transport sector is a major contributor to greenhouse gas emissions in Europe. Shifting to electric vehicles (EVs) powered by a low-carbon energy mix would reduce carbon emissions. However, to support the development of electric…

The increased deployment of distributed energy generation and the integration of new, large electric loads such as electric vehicles and heat pumps challenge the correct and reliable operation of low voltage distribution systems. To tackle…

Systems and Control · Electrical Eng. & Systems 2022-04-14 Alexander Hoogsteyn , Marta Vanin , Arpan Koirala , Dirk Van Hertem

Voltage controls the majority of the processes around us, starting from lighting an incandescent lamp to running huge machines in industries. Therefore, voltage monitoring becomes essential, which demands efficient measurement and storage…

Cryptography and Security · Computer Science 2020-09-18 Shailesh Mishra , Shivam Kumar

The decarbonization goals worldwide drive the energy transition of power distribution grids, which operate under increasingly volatile conditions and closer to their technical limits. In this context, localized operational data with high…

Systems and Control · Electrical Eng. & Systems 2025-08-28 Lorenzo Zapparoli , Alfredo Oneto , María Parajeles Herrera , Blazhe Gjorgiev , Gabriela Hug , Giovanni Sansavini

In the context of smart grids and load balancing, daily peak load forecasting has become a critical activity for stakeholders of the energy industry. An understanding of peak magnitude and timing is paramount for the implementation of smart…

Machine Learning · Computer Science 2021-12-10 Yvenn Amara-Ouali , Matteo Fasiolo , Yannig Goude , Hui Yan

The energy sector is experiencing rapid transformation due to increasing renewable energy integration, decentralisation of power systems, and a heightened focus on efficiency and sustainability. With energy demand becoming increasingly…

Electrification of transport compounded with climate change will transform hourly load profiles and their response to weather. Power system operators and EV charging stakeholders require such high-resolution load profiles for their planning…

Systems and Control · Electrical Eng. & Systems 2024-03-08 Samrat Acharya , Malini Ghosal , Travis Thurber , Casey D. Burleyson , Yang Ou , Allison Campbell , Gokul Iyer , Nathalie Voisin , Jason Fuller

While wind and solar power contribute to sustainability, their intermittent nature poses challenges when integrated into the grid. To mitigate these issues, renewable energy can be combined with coal fired power and hydropower sources to…

Systems and Control · Electrical Eng. & Systems 2024-11-12 Manling Hu , Manqi Xu , Dunnan Liu

The decarbonization of transportation relies on the widespread adoption of electric vehicles (EVs), which requires an accurate understanding of charging behavior to ensure cost-effective, grid-resilient infrastructure. Existing work is…

Machine Learning · Computer Science 2025-11-19 Kshitij Nikhal , Lucas Ackerknecht , Benjamin S. Riggan , Phillip Stahlfeld

The retirement of unabated coal power plants, the plummeting cost of renewable energy technologies, along with more aggressive public policies and regulatory reforms, are occurring at an unprecedented speed to decarbonize the power and…

Systems and Control · Electrical Eng. & Systems 2022-10-19 Jian Shi , Dan Wang , Chenye Wu , Zhu Han

The increasing penetration level of energy generation from renewable sources is demanding for more accurate and reliable forecasting tools to support classic power grid operations (e.g., unit commitment, electricity market clearing or…

Machine Learning · Computer Science 2020-07-17 Michela Moschella , Mauro Tucci , Emanuele Crisostomi , Alessandro Betti

An essential facet of achieving climate neutrality by 2045 is the decarbonization of municipal energy systems. To accomplish this, it is necessary to establish implementation concepts that detail the timing, location, and specific measures…

Systems and Control · Electrical Eng. & Systems 2023-11-21 Paul Maximilian Röhrig , Nils Körber , Julius Zocher , Andreas Ulbig