IEEE

Deep Reinforcement Learning-Assisted Robust Cubature Kalman Filter for Power System Dynamic State Estimation With Multi-Rate Measurements

Abstract: The coexistence of high-frequency phasor measurement units (PMUs) and conventional SCADA systems raises the challenge of heterogenous-source and multi-rate measurements which significantly ...
GitHub

hijimasa/python-fem-tool

このリポジトリでは、Pythonで簡易的にFEMを試してみることができます。 基本は参考サイトのアルタカさんのプログラムをベースに、機械設計者が部品を設計する際の強度計算支援ツールとし ...
GitHub

empenoso/excel-data-bridge

Простой локальный прокси-сервер на Python для импорта актуальных данных (например, курсов валют) с современных сайтов в Microsoft Excel в обход веб ...
JournalofAccountancy

How CPAs can use exponential smoothing in Excel for better forecasts

Q. I use Excel to do traditional linear forecasting, but I would like to upgrade to exponential smoothing for more accurate forecasts. Is there a way to do this in Excel? A. Accurate forecasting is ...
IEEE

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...