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Identifying Expressions of Emotion in Text
TLDR
We describe an emotion annotation task of identifying emotion category, emotion intensity and the words/phrases that indicate emotion in text. Expand
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Using Roget's Thesaurus for Fine-grained Emotion Recognition
TLDR
We study the task of automatically categorizing sentences in a text into Ekman’s six basic emotion categories. Expand
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Energy management systems: state of the art and emerging trends
TLDR
The electric grid is radically evolving and transforming into the smart grid, which is characterized by improved energy efficiency and manageability of available resources. Expand
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Cloud-Based Software Platform for Big Data Analytics in Smart Grids
TLDR
This article focuses on a scalable software platform for the Smart Grid cyber-physical system using cloud technologies. Expand
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Recognizing Emotions in Text
People express emotions as part of everyday communication. Emotions can be judged by a combination of cues such as facial expressions, prosodies, gestures, and actions. Emotions are also articulatedExpand
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An Informatics Approach to Demand Response Optimization in Smart Grids
Power utilities are increasingly rolling out “smart” grids with the ability to track consumer power usage in near real-time using smart meters that enable bidirectional communication. However, theExpand
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Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators
TLDR
The rising global demand for energy is best addressed by adopting and promoting sustainable methods of power consumption. Expand
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Prediction models for dynamic demand response: Requirements, challenges, and insights
TLDR
A feasibility analysis of very-short-term prediction of electricity consumption for D2R over a diverse, large-scale dataset that includes both small residential customers and large buildings. Expand
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Holistic Measures for Evaluating Prediction Models in Smart Grids
TLDR
The performance of prediction models is often based on “abstract metrics” that estimate the model's ability to limit residual errors between observed and predicted values. Expand
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Empirical Comparison of Prediction Methods for Electricity Consumption Forecasting
Recent years have seen an increasing interest in providing accurate prediction models for electrical energy consumption. In Smart Grids, energy consumption optimization is critical to enhance powerExpand
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