Thumbnail
Access Restriction
Subscribed

Author Soares, T. ♦ Fernandes, F. ♦ Morais, H. ♦ Faria, P. ♦ Vale, Z.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Artificial neural networks ♦ Training ♦ Energy resources ♦ Wind forecasting ♦ Forecasting ♦ Optimization ♦ Photovoltaic systems ♦ Virtual Power Player (VPP) ♦ Artificial Neural Network (ANN) ♦ Distributed generation ♦ Locational Marginal Price (LMP) ♦ Mixed Integer Linear Programming (MIP)
Abstract In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment.
Description Author affiliation: GECAD - Knowledge Engineering and Decision-Support Research Group of the School of Engineering - Polytechnic Institute of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072, Portugal (Soares, T.; Fernandes, F.; Morais, H.; Faria, P.; Vale, Z.)
ISBN 9781467319348
ISSN 21608563
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-05-07
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467319355
Size (in Bytes) 719.11 kB
Page Count 8
Starting Page 1
Ending Page 8


Source: IEEE Xplore Digital Library