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Electricity is a volatile power source that requires great planning and resource management for both short and long term. More specifically, in the short-term, accurate instant energy consumption forecasting contributes greatly to improve…

Artificial Intelligence · Computer Science 2022-07-05 Nuno Oliveira , Norberto Sousa , Isabel Praça

The most widely used method for monitoring Low Voltage Distribution Grids (LVDGs) is the three phase Weighted Least Squares (WLS) State Estimation (SE), which was initially developed for Medium Voltage Distribution Grids (MVDGs). This…

Signal Processing · Electrical Eng. & Systems 2018-10-10 Andreas Kotsonias , Lenos Hadjidemetriou , Markos Asprou , Elias Kyriakides

The increasing penetration of renewables in distribution networks calls for faster and more advanced voltage regulation strategies. A promising approach is to formulate the problem as an optimization problem, where the optimal reactive…

Optimization and Control · Mathematics 2020-02-24 Yize Chen , Yuanyuan Shi , Baosen Zhang

The Smart grid (SG), generally known as the next-generation power grid emerged as a replacement for ill-suited power systems in the 21st century. It is in-tegrated with advanced communication and computing capabilities, thus it is ex-pected…

Artificial Intelligence · Computer Science 2024-09-05 Navod Neranjan Thilakarathne , Mohan Krishna Kagita , Surekha Lanka , Hussain Ahmad

Electrical power systems are increasing in size, complexity, as well as dynamics due to the growing integration of renewable energy resources, which have sporadic power generation. This necessitates the development of near real-time power…

Machine Learning · Computer Science 2023-03-02 Ognjen Kundacina , Gorana Gojic , Mile Mitrovic , Dragisa Miskovic , Dejan Vukobratovic

How can short-term energy consumption be accurately forecasted when sensor data is noisy, incomplete, and lacks contextual richness? This question guided our participation in the \textit{2025 Competition on Electric Energy Consumption…

Machine Learning · Computer Science 2025-10-21 Sarah Al-Shareeda , Gulcihan Ozdemir , Heung Seok Jeon , Khaleel Ahmad

This paper proposes a nonparametric multivariate density forecast model based on deep learning. It not only offers the whole marginal distribution of each random variable in forecasting targets, but also reveals the future correlation…

Systems and Control · Electrical Eng. & Systems 2022-10-28 Zichao Meng , Ye Guo , Wenjun Tang , Hongbin Sun

This study delves into the shift from centralized to decentralized approaches in the electricity industry, with a particular focus on how machine learning (ML) advancements play a crucial role in empowering renewable energy sources and…

Machine Learning · Computer Science 2023-10-25 Mohammad Mohammadi , Ali Mohammadi

Photovoltaic (PV) energy grows rapidly and is crucial for the decarbonization of electric systems. However, centralized registries recording the technical characteristifs of rooftop PV systems are often missing, making it difficult to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-16 Gabriel Kasmi , Laurent Dubus , Yves-Marie Saint Drenan , Philippe Blanc

The rapid growth of inverter-based resources (IBRs) and distributed energy resources (DERs) has fundamentally altered the long-term voltage stability characteristics of modern power systems. This article leverages the advantages of machine…

Systems and Control · Electrical Eng. & Systems 2026-04-24 Ahmed Alkhonain , Kiran Kumar Challa , Amarsagar Reddy Ramapuram Matavalam , Alok Kumar Bharati , Venkataramana Ajjarapu

Renewable energy productions and electrification of mobility are promising solutions to reduce greenhouse gas emissions. Their effective integration in a power grid encounters several challenges. The uncertain nature of renewable energy…

Systems and Control · Electrical Eng. & Systems 2023-01-11 Manijeh Alipour , Omid Alizadeh-Mousavi

With the proliferation of distributed energy resources (DERs) in the distribution grid, it is a challenge to effectively control a large number of DERs resilient to the communication and security disruptions, as well as to provide the…

Systems and Control · Electrical Eng. & Systems 2023-08-02 Mohammad Panahazari , Matthew Koscak , Jianhua Zhang , Daqing Hou , Jing Wang , David Wenzhong Gao

Low-to-medium voltage distribution networks are experiencing rising levels of distributed energy resources, including renewable generation, along with improved sensing, communication, and automation infrastructure. As such, state estimation…

Systems and Control · Computer Science 2019-04-18 Thiagarajan Ramachandran , Andrew Reiman , Sai Pushpak Nandanoori , Mark Rice , Soumya Kundu

Electricity load forecasting plays an important role in the energy planning such as generation and distribution. However, the nonlinearity and dynamic uncertainties in the smart grid environment are the main obstacles in forecasting…

Neural and Evolutionary Computing · Computer Science 2018-11-09 Faisal Mohammad , Ki Boem Lee , Young-Chon Kim

This paper proposes an online voltage control strategy of distributed energy resources (DERs), based on the projected Newton method (PNM), for unbalanced distribution networks. The optimal Volt/VAr control (VVC) problem is formulated as an…

Systems and Control · Electrical Eng. & Systems 2022-01-13 Rui Cheng , Zhaoyu Wang , Yifei Guo , Qianzhi Zhang

Distribution network operators (DNOs) are increasingly concerned about the impact of low carbon technologies on the low voltage (LV) networks. More advanced metering infrastructures provide numerous opportunities for more accurate load flow…

Applications · Statistics 2017-06-28 Georgios Giasemidis , Stephen Haben , Tamsin Lee , Colin Singleton , Peter Grindrod

Modern distribution grids are currently being challenged by frequent and sizable voltage fluctuations, due mainly to the increasing deployment of electric vehicles and renewable generators. Existing approaches to maintaining bus voltage…

Systems and Control · Computer Science 2019-12-05 Qiuling Yang , Gang Wang , Alireza Sadeghi , Georgios B. Giannakis , Jian Sun

Distribution grids constitute complex networks of lines often times reconfigured to minimize losses, balance loads, alleviate faults, or for maintenance purposes. Topology monitoring becomes a critical task for optimal grid scheduling.…

Optimization and Control · Mathematics 2017-07-24 Guido Cavraro , Vassilis Kekatos , Sriharsha Veeramachaneni

In the rapidly growing development of the Internet of Things (IoT) infrastructure, achieving reliable wireless communication is a challenge. IoT devices operate in diverse environments with common signal interference and fluctuating channel…

Machine Learning · Computer Science 2024-05-22 Samrah Arif , Muhammad Arif Khan , Sabih Ur Rehman

Due to increased penetration of renewable resources in the distribution grid, the distribution system operator (DSO) faces increased challenges to maintain security and quality of supply. Since, a large proportion of renewables are…

Systems and Control · Electrical Eng. & Systems 2021-08-10 Ankur Majumdar , Omid Alizadeh-Mousavi