5.2k citations · 5.3k across the 8 of their papers we have counts for
9 papers
Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids
Fanlin Meng, Qian Ma, Zixu Liu +1
In this paper, we propose a realistic multiple dynamic pricing approach to demand response in the retail market. First, an adaptive clustering-based customer segmentation framework…
UPANets: Learning from the Universal Pixel Attention Networks
Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng +5
Among image classification, skip and densely-connection-based networks have dominated most leaderboards. Recently, from the successful development of multi-head attention in natura…
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation
Elizabeth Fons, Paula Dawson, Xiao-jun Zeng +2
Data augmentation methods have been shown to be a fundamental technique to improve generalization in tasks such as image, text and audio classification. Recently, automated augment…
Augmenting transferred representations for stock classification
Elizabeth Fons, Paula Dawson, Xiao-jun Zeng +2
Stock classification is a challenging task due to high levels of noise and volatility of stocks returns. In this paper we show that using transfer learning can help with this task,…
Evaluating data augmentation for financial time series classification
Elizabeth Fons, Paula Dawson, Xiao-jun Zeng +2
Data augmentation methods in combination with deep neural networks have been used extensively in computer vision on classification tasks, achieving great success; however, their us…
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing
Elizabeth Fons, Paula Dawson, Jeffrey Yau +2
The financial crisis of 2008 generated interest in more transparent, rules-based strategies for portfolio construction, with Smart beta strategies emerging as a trend among institu…
An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids
Fanlin Meng, Xiao-Jun Zeng, Yan Zhang +2
In this paper, we consider a realistic and meaningful scenario in the context of smart grids where an electricity retailer serves three different types of customers, i.e., customer…
A Hybrid Optimization Approach to Demand Response Management for the Smart Grid
Fan-Lin Meng, Xiao-Jun Zeng
This paper proposes a hybrid approach to optimal day-ahead pricing for demand response management. At the customer-side, compared with the existing work, a detailed, comprehensive…
Twitter mood predicts the stock market
Johan Bollen, Huina Mao, Xiao-Jun Zeng
Behavioral economics tells us that emotions can profoundly affect individual behavior and decision-making. Does this also apply to societies at large, i.e., can societies experienc…