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Publicações

Publicações por João Gama

2017

Preface

Autores
Sayed Mouchaweh, M; Bifet, A; Bouchachia, H; Gama, J; Ribeiro, RP;

Publicação
CEUR Workshop Proceedings

Abstract

2017

Preface

Autores
Sayed Mouchaweh, M; Bouchachia, H; Gama, J; Ribeiro, RP;

Publicação
CEUR Workshop Proceedings

Abstract

2019

Preface

Autores
Li, G; Gama, J; Yang, J;

Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

2019

Preface

Autores
Li, G; Gama, J; Yang, J;

Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

2018

Preface

Autores
Li, X; Gama, J; Chen, B; Chen, S; Wang, S; Zhu, XH;

Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

2013

Probabilistic ramp detection and forecasting for wind power prediction

Autores
Ferreira, C; Gama, J; Miranda, V; Botterud, A;

Publicação
Reliability and Risk Evaluation of Wind Integrated Power Systems

Abstract
This chapter proposes a new way to detect and represent the probability of ramping events in short-term wind power forecasting. Ramping is one notable characteristic in a time series associated with a drastic change in value in a set of consecutive time steps. Two properties of a ramp event forecast, that is, slope and phase error, are important from the point of view of the system operator (SO): they have important implications in the decisions associated with unit commitment or generation scheduling, especially if there is thermal generation dominance in the power system. Unit commitment decisions, generally taken some 12-48 h in advance, must prepare the generation schedule in order to smoothly accommodate forecasted drastic changes in wind power availability. © Springer India 2013.

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