Author(s): Felipe Sanchez Garzón

Originally published on Towards AI.

Hybrid AI model for energy project cost overruns

Photo by Warner on Unsplash

This member-only story is on us. Upgrade to access all of Medium.

In this post, I will explain step by step how it is possible to create a hybrid artificial intelligence model that is able to predict the probability that an energy project (oil and gas in this case) will have cost overruns. This post is based on my Ph.D. research. (The complete paper inspiring this post can be found with open access here).

The project management aims at increasing projects’ probability of success, which is expressed in terms of key operational performances achievement (clients’ value, lead time,… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI