João P. S. Catalão
Electrical and Electronic Engineering · 2007–2019
A researcher in the Science corpus: 15 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 144 citations into it; #10,059 of 16,539 by trust here, #6,143 by citations
- Control and Systems Engineering — 50 citations into it
- Renewable Energy, Sustainability and the Environment — 30 citations into it; #5,073 of 5,212 by trust here, #3,424 by citations
- Artificial Intelligence — 21 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Automotive Engineering — 10 citations into it
- Management Science and Operations Research — 10 citations into it
- Economics and Econometrics — 6 citations into it
Whom João P. S. Catalão trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stéphane Mallat
- G. Zhang
- Agnaldo J. R. Reis
- Rajesh G. Kavasseri
- Henrique S. Hippert
- Antonio J. Conejo
- D. W. Bunn
- Simon S. Haykin
- D. Richardson
- Nima Amjady
Who trusts João P. S. Catalão overall
- Jaesung Jung
- Qinghua Hu
- A. Taşcıkaraoǧlu
- Xiaodao Chen
- Rafal Weron
- Robert P. Broadwater
- Borhan Molazem Sanandaji
- Shiguang Zhang
- Tongquan Wei
- Hugo M. I. Pousinho
Papers from João P. S. Catalão's perspective
Ordered by how strongly the researchers João P. S. Catalão trusts endorse each paper. Same corpus, a different order for every researcher.
- I and J
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Neural networks for short-term load forecasting: a review and evaluation
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Forecasting loads and prices in competitive power markets (Proceedings of the IEEE)
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Object recognition from local scale-invariant features
- Neural Networks: A Comprehensive Foundation
- Improved Training of Wasserstein GANs
- A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
Their papers
- Short-term electricity prices forecasting in a competitive market: A neural network approach (2007) — 430 citations
- A Stochastic Multi-Layer Agent-Based Model to Study Electricity Market Participants Behavior (2015) — 123 citations
- Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR (2015) — 443 citations
- An overview of Demand Response: Key-elements and international experience (2017) — 571 citations
- Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies (2015) — 397 citations
- Short-term wind power forecasting in Portugal by neural networks and wavelet transform (2011) — 306 citations
- The values of market-based demand response on improving power system reliability under extreme circumstances (2017) — 222 citations
- Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting (2019) — 298 citations
- Impact of distributed generation on protection and voltage regulation of distribution systems: A review (2019) — 318 citations
- Image phase shift invariance based cloud motion displacement vector calculation method for ultra-short-term solar PV power forecasting (2018) — 148 citations
- Economic and environmental benefits of using textile waste for the production of thermal energy (2018) — 113 citations
- Strategic Behavior of Multi-Energy Players in Electricity Markets as Aggregators of Demand Side Resources Using a Bi-Level Approach (2018) — 125 citations
- A Review of Smart Cities Based on the Internet of Things Concept (2017) — 512 citations
- Multi-objective reconfiguration of radial distribution systems using reliability indices (2016) — 86 citations
- Simulation of a Solar Cell considering Single-Diode Equivalent Circuit Model (2011) — 139 citations