Buscar
Mostrando ítems 1-10 de 2021
Investigation into the impact of embedded generators on distribution system performance using theorem of superposition
(2005-12-01)
Since the 1980s, huge efforts have been made to utilise renewable energy sources to generate electric power. One of the interesting issues about embedded generators is the question of optimal placement and sizing of the ...
Investigation into the impact of embedded generators on distribution system performance using theorem of superposition
(2005-12-01)
Since the 1980s, huge efforts have been made to utilise renewable energy sources to generate electric power. One of the interesting issues about embedded generators is the question of optimal placement and sizing of the ...
Multi-sense Embeddings Using Synonym Sets and Hypernym Information from Wordnet
Word embedding approaches increased the efficiency of natural language processing (NLP) tasks. Traditional word embeddings though robust for many NLP activities, do not handle polysemy of words. The tasks of semantic ...
Technical and commercial issues of embedded generation. Cases of study: Argentina and Chile
(2000)
In this work a review over the technical and commercial issues of embedded generation in the new Electricity Supply Industry is done. Some of the problems that the present arrangements have in recognising the real value ...
Suspending the Cartan Embedding of HPn Through Spindles and Generators of Homotopy Groups
(Birkhauser Verlag AgBaselSuíça, 2011)
Observing the performance of distribution systems with embedded generators
(Wiley-Blackwell, 2004-11-01)
In this paper, a multi-objective approach for observing the performance of distribution systems with embedded generators in the steady state, based on heuristic and power system analysis, is proposed. The proposed hybrid ...
Observing the performance of distribution systems with embedded generators
(Wiley-Blackwell, 2004-11-01)
In this paper, a multi-objective approach for observing the performance of distribution systems with embedded generators in the steady state, based on heuristic and power system analysis, is proposed. The proposed hybrid ...
Fast node embeddings: learning ego-centric representations
(Universidade Federal de Minas GeraisUFMG, 2018-02-26)
Representation learning is one of the foundations of Deep Learning and allowed important improvements on several Machine Learning tasks, such as Neural Machine Translation, Question Answering and Speech Recognition. Recent ...