[图书][B] Optimierte Ladung von Elektrofahrzeugen als Markow Entscheidungsprozess mittels maschineller Lernalgorithmen: 0

M Kelker - 2023 - books.google.com
Die Elektromobilität mit teils hohen Ladeleistungen ist für den sicheren Betrieb der
elektrischen Verteilnetze zukünftig eine Herausforderung. Zur Reduzierung von …

Bibliometric study of distribution system state estimation: advances and challenges

JAL Sánchez, ME Samper… - DYNA: revista de la …, 2024 - dialnet.unirioja.es
An active distribution network with a large amount of distributed energy resources (DER)
requires knowledge of the operational status of the network. In this sense, state estimation is …

Electricity Load Forecasting with Collective Echo State Networks

S Liu, C Xu, Y Liu, D Katramatos… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Short-term load forecasting (STLF) is one of the most important tasks in power grid systems.
Despite thorough research of STLF on community scales, predicting individual power …

A Comprehensive review on the current trends in Micro-Phasor Measurement Units

A Ravi, M Saranathan, PHK Achuthan… - IOP Conference …, 2022 - iopscience.iop.org
Abstract Micro-Phasor Measurement Units are invaluable data sources that improve visibility
in a variety of domains of application, including power generation, transmission, and …

Developments in Wide-Area Monitoring for Major Renewables: Wind and Solar Energy

S Behera, BB Pati - Wind and Solar Energy Applications, 2023 - taylorfrancis.com
The energy sector has headed towards harvesting alternatives such as wind and solar
energy to drive the world, looking at the decline in conventional resources. Both of these …

재생에너지원을위한Python 에의한빅데이터의통계해석

이경민, 박철원 - 조명· 전기설비학회논문지, 2022 - dbpia.co.kr
The installed capacity of RESs (Renewable Energy Sources) in South Korea is 20.1 GW in
2021. By reflecting the Renewable Energy 3020, the Hydrogen Economy Revitalization …

Deep Learning with Relational Interconnections

S Liu - 2020 - search.proquest.com
This work presents the theoretical analysis and applications of deep neural networks
integrated with relational structure processing. Two novel algorithms are proposed in the …