{"library":"node-red-contrib-industrial-machine-forecast","title":"node-red-contrib-industrial-machine-forecast","description":"Node-RED custom node for time-series forecasting and anomaly detection using exponential smoothing. Current version 1.0.2, stable release. It forecasts the next value in a time series based on a configurable smoothing factor (alpha) and detects anomalies (sudden spikes/drops) using a running estimate of forecast error variance and a threshold in standard deviations. Offers an adaptive mode that adjusts alpha based on data volatility. Unlike general statistical libraries, this is specifically designed as a Node-RED node with status indicator and configurable settings, intended for predictive maintenance and real-time monitoring. Released under GPL-3.0.","language":"javascript","status":"active","last_verified":"Sat Apr 25","install":{"commands":["npm install node-red-contrib-industrial-machine-forecast"],"cli":null},"imports":["Install via npm and then use in Node-RED flow; no direct import in JavaScript/TypeScript."],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"// This package is a Node-RED node, not a library for programmatic use.\n// To use it, install Node-RED first, then:\n// npm install node-red-contrib-industrial-machine-forecast\n// Then in Node-RED flow editor, add it from the palette.\n// Input: msg.payload = numeric observation\n// Output: msg.payload = { value: number, status: \"Normal\" | \"Anomaly - Sudden Spike\" | \"Anomaly - Sudden Drop\" }","lang":"javascript","description":"Node-RED node usage: install via npm, configure alpha and threshold, pass numeric payload to detect anomalies.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}