Improved Modelling Methodologies for the Integration of Large-Scale Wind Power in the Electricity Grid (Verbeterde modeleringsmethodes voor de integratie v... The integration of wind power in the power system is an important subject linked with the commitment to aim for a decarbonisation of the...
A Survey of Predictive Modelling under Imbalanced Distributions: https://arxiv.org/pdf/1505.01658.pdf CGnal Research: https://arxiv.org/pdf/1701.03633.pdf Log-based Predictive Maintenance: https://astro.temple.edu/~tua63862/indg0371-sipos.pdf Event Detection and Predictive Maintenance using Comp...
Utilizing artificial intelligence and machine learning, the developed model monitors market data to predict price changes, ensuring secure and efficient investment management. The research emphasizes the importance of recognizing key market forces, such as commodity trade and investor mindset, to enhance ...
This paper presents a novel framework to conduct empirical investigation and carry out predictive modelling on daily index prices of Bombay stock exchange,
AI-Powered Workforce Analytics: Maximizing Business and Employee Success through Predictive Attrition Modelling In recent years, the world has undergone a rapid increase in digital data, which has facilitated progress in big data and predictive analytics, specificall... K Shobhanam,S Sumati - 《Int...
It uses statistical techniques – including machine learning algorithms and sophisticated predictive modelling – to analyse current and historical data and assess the likelihood that something will take place, even if that something isn’t on a business’ radar. Predictive analytics is relevant to ...
4. TIME SERIES MODELLING WITH FB PROPHET FB Prophet is a forecasting package in Python that was developed by Facebook’s data science research team. The goal of the package is to give business users a powerful and easy-to-use tool to help forecast business results without needing to be an...
BRP modelling in proposed structure MPC is a control methodology for optimal operation and control of dynamical systems and processes. In addition to the feature of incorporating constraints, MPC integrates predictions and forecast of the considered system. In this regard, MPC can take control action...
Entrepreneurship research has developed and upheld the distinction between two fundamental notions of how entrepreneurial action might proceed, one being t
Risk management in the energy markets and Value-at-Risk modelling: a hybrid approach This paper proposes a set of Value-at-Risk (VaR) models appropriate to capture the dynamics of energy prices and subsequently quantify energy price risk by... K Andriosopoulos,N Nomikos - 《European Journal ...