In industrial informatics-enabled smart grids, machine learning approaches have exhibited
high potential in data-driven electricity theft detection (ETD), whereas none of the existing …

The measurement error evaluation of power metering equipment (PME) is significant for the
instrument design and accurate metering of electric energy, especially under extreme …

The scope of the Industrial Internet of Things (IIoT) has stretched beyond manufacturing to
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …

Load forecasting plays a crucial role in the world of smart grids. It governs many aspects of
the smart grid and smart meter, such as demand response, asset management, investment …

The advent of information and communication technologies has paved the way for smart
cities. Residential customers are the major consumers of electrical energy in such cities …

Предмет исследования. Представлен анализ ключевых направлений развития
цифровой энергетики и интеллектуальных электрических сетей на текущий момент и …

Prosumers concept has evolved with the technology advancements in renewable energy
sources and intelligent responsive load devices. Digitalization paves the way for prosumers …

This paper proposes a learning-based adaptive imputation method (LAI) for imputing
missing power data in an energy system. This method estimates the missing power data by …

Nowadays, smart energy meters are being used to record periodic electricity consumption.
The real time data produced by smart meters provide the detailed information about the …

In Europe, one of the most sustainable solutions to supply heat to buildings is district
heating. It has good acceptance in the Northern countries, a low-carbon footprint, and can …