[HTML][HTML] Artificial intelligence for electricity supply chain automation

L Richter, M Lehna, S Marchand, C Scholz… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

Bagging ensemble of multilayer perceptrons for missing electricity consumption data imputation

S Jung, J Moon, S Park, S Rho, SW Baik, E Hwang - Sensors, 2020 - mdpi.com
For efficient and effective energy management, accurate energy consumption forecasting is
required in energy management systems (EMSs). Recently, several artificial intelligence …

Bauhaus. MobilityLab: a living lab for the development and evaluation of AI-Assisted services

C Frey, P Hertweck, L Richter, O Warweg - Smart Cities, 2022 - mdpi.com
With the vision “Innovation by experiment” the Bauhaus. MobilityLab started in July 2020 as
a living lab in the district Brühl of the city Erfurt, Thuringia, Germany. As a unique project, it is …

Noise added on Interpolation as a Simple Novel Method for Imputing Missing Data from Household's Electricity Consumption

AA Attar, F Schirle, M Hofmann - Procedia Computer Science, 2022 - Elsevier
The expansion of microgrids and decentralized power generation has become a relevant
issue for energy supply through renewable energy. Thus, the collection of electricity …

Integration of Dispersed Power Generation

G Serițan, R Porumb, C Cepișcă… - … : Intelligent Solutions for …, 2016 - Springer
Current paper deals with three main issues, regarding the operation of the electric power
systems in the presence of distributed generation. The first issue regards the assessment of …

Reconfiguration and reinforcement allocation as applied to hourly medium‐term load forecasting of distribution feeders

G Paredes, L Vargas… - … Transmission & Distribution, 2020 - Wiley Online Library
In this study, a methodology to develop hourly demand scenarios in a medium‐term horizon
for primary distribution substations is presented and applied to a case study. The main …

Electrical load pattern for LV consumers. A Romanian case

R Porumb, N Golovanov, C Toader… - 2012 47th …, 2012 - ieeexplore.ieee.org
Current structure of the main electric distribution utility in Romania consists in three areas,
which cover the center and north areas of Country. Starting from the analysis of small users …

Load data cleaning with data mining techniques

VA Almeida, JFM Pessanha… - 2018 Simposio Brasileiro …, 2018 - ieeexplore.ieee.org
Data quality is critical in the short-term load forecasting. Often, load data show outliers,
discontinuities, and gaps resulting from abnormal operation of the electrical power system or …

Microgrid design optimization in Benin within the LEOPARD project: evaluating the impact of inaccurate load profile estimation

S Sanfilippo, JJH Cabrera, J Évora… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The study aims to answer three specific questions: how the optimal microgrid design is
affected by the renewable production constraint, how the microgrid design affects the …

Методи та засоби аналізу втрат електроенергії в розподільних електричних мережах з використанням пристроїв Smart Metering

ЮВ Малогулко, АЛ Поліщук, ЮВ Томашевський - 2023 - ir.lib.vntu.edu.ua
В монографії розглядається оцінка стану розподільних мереж з використанням
пристроїв Smart Metering, дослідження особливостей функціонування інформаційних …