The thermometer reads 95°F (35°C) in Brooklyn, and vulnerable individuals need information to take appropriate action. New York City officials must gather facts quickly to provide updates on cooling ...

Successful industrial AI implementation depends on establishing a strong foundation of data quality, process understanding ...

This guide reviews the best AI tools for predictive maintenance to help reduce unplanned downtime, extend asset life, and control maintenance costs before failures happen. Together with the Cybernews ...

There are several examples noted in ISA-TR5.9-2023, Section 6.6, on the need for PID directional move suppression (DMS), a stand key feature of model predictive control and the use of external reset ...

causeinfer is a Python package for estimating average and conditional average treatment effects using machine learning. The goal is to compile causal inference models both standard and advanced, as ...

MultiSim is a simulation tool for energy systems consisting of multiple different parts like pipes, storages, valves, heat exchangers, etc. F.i. technical appliances such as space or water heating ...

In the age of increasing energy consumption and operational effectiveness, digital transformation is quickly transforming the operation of power plants. The most groundbreaking technology to have been ...