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Emerging Technology for Distributed Energy Resources
Much of the emerging technologies in the electric grid sector arise in the installation of distributed energy resources. With the increase in...
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Data Perspective on Power Systems
The electric grid is indispensable in today’s society, including science and technology development, industrial production, and daily life. The...
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Design New Markets
In the past few chapters, we show how data analytics can solve technical challenges and provide situational awareness for the future. Given the fact...
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Forecast for the Future
Chapters 4 and 5 introduce challenges and opportunities...
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Basics of Power Systems
The power system is a complex system with a variety of participants, including generators, prosumers, aggregators, utilities, system operators, etc....
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Adapt Load Behavior as Technology Agnostic Solution
Chapter 3 shows both the benefits and the challenges of distributed energy resources. A key approach to...
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Streaming Monitoring and Control for Real-Time Grid Operation
The previous two chapters have discussed market and economic operational issues associated with the evolving grid. In the next two chapters, we will...
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Use of Energy Storage as a Means of Managing Variability
In Chap. 4 , we show that flexible loads can be an important economic and physical solution to manage the...
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Using PMU Data for Anomaly Detection and Localization
In Chap. 8 , we showed how to operate a system in SCADA timescale. However, we need faster timescale for...
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Text Analytics: Using Qualitative Data to Support Quantitative Results
In Chap. 1 , we introduced the concept of big data. Recall that in particular the explosive growth in big data...
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Predictive Models Using Regression
After performing descriptive analysis and data preparation, the next step is to build the predictive model. Regression models can be used as a...
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The Third of the Big 3: Neural Networks
One of the most powerful predictive analytics techniques are neural networks. The concept of the neural network is over 50 years old, but it is...
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Introduction to Predictive Analytics
There are few technologies that have the ability to revolutionize how business operates. Predictive analytics is one of those technologies....
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The Second of the Big 3: Decision Trees
Decision trees are an important predictive modeling tool, not because of their complexity but because of their simplicity. They are often used to be...
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Finding Associations in Data Through Cluster Analysis
Clustering is a technique of grou** similar observations into smaller groups within the larger population. The resulting groups should be...
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What Do Descriptive Statistics Tell Us
Prior to analyzing any data set, it is important to first understand the data. Descriptive statistics presents data in a meaningful way for the...
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Model Comparisons and Scoring
Up to this point, we have focused on what is considered the Big 3 in predictive analytics: regression, decision trees, and neural networks. However,...
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Know Your Data: Data Preparation
Once the business problem is identified, the hypotheses developed, and the data collected, the next step in the process is to analyze the data and...
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Comprehensive Minimum Cost Models Based on Consensus Measures
Nowadays, consensus is key in Group Decision Making (GDM). Many times, decision makers who participate in a GDM problem discuss and modify their...