19 citations
5 papers
Anomaly Detection in California Electricity Price Forecasting: Enhancing Accuracy and Reliability Using Principal Component Analysis
Joseph Nyangon, Ruth Akintunde
Accurate and reliable electricity price forecasting has significant practical implications for grid management, renewable energy integration, power system planning, and price volat…
Towards optimized actions in critical situations of soccer games with deep reinforcement learning
Pegah Rahimian, Afshin Oroojlooy, Laszlo Toka
Soccer is a sparse rewarding game: any smart or careless action in critical situations can change the result of the match. Therefore players, coaches, and scouts are all curious ab…
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
Majid Jahani, Mohammadreza Nazari, Rachael Tappenden +2
This work presents a new algorithm for empirical risk minimization. The algorithm bridges the gap between first- and second-order methods by computing a search direction that uses…
A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain
Tao Wang
Traditional machine learning algorithms use data from databases that are mutable, and therefore the data cannot be fully trusted. Also, the machine learning process is difficult to…
Leveraging Unstructured Data to Detect Emerging Reliability Issues
Deovrat Kakde, Arin Chaudhuri
Unstructured data refers to information that does not have a predefined data model or is not organized in a pre-defined manner. Loosely speaking, unstructured data refers to text d…