With the rapid development of information technologies such as big data, artificial intelligence, mobile Internet and cloud computing, the financial sharing service center of enterprise groups has ushered in a new stage of development. From the…
This paper presents the performance evaluation of a net load management (NLM) engine that balances load and generation in an isolated community to power a critical facility after a grid interruption event (e.g., the loss of a large generation unit).…
The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings.…
To process continuous sensor data in Internet of Things (IoT) environments, this study optimizes queries using multiple MJoin operators. To achieve efficient storage management, it classifies and reduces data using a support vector machine (SVM)…
Matrix factorization on sparse matrices has been proven to be an effective approach for data mining and machine learning. However, the prior parallel implementations for matrix factorization fail to capture the internal social property embedded in…
The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings.…
The collection of material flow data is the first step in the evaluation of the circular economy performance and material metabolism at the city level. However, Chinese statistical data are published by Chinese National Bureau of Statistics, and…