A Roadmap for Enabling Industry 4.0 by Artificial Intelligence

7Deep Learning Approach to Industrial Energy Sector and Energy Forecasting with Prophet

Yash Gupta¹*, Shilpi Sharma¹, Naveen Rajan P.¹ and Nadia Mohamed Kunhi²

¹Department of Computer Science and Engineering, Amity School of Engineering & Technology, Noida, Uttar Pradesh, India

²Design Engineer, Binghalib Engineering, Sharjah, United Arab Emirates

Abstract

Deep learning is a subset of the Machine learning method, which is a vital factor in the Energy Industrial sector, which helps optimize the contracting methods and minimize the overall cost in the expenses to produce energy. This research paper aims to identify the approaches that can be used to identify the valuable depending factors in the data sets and correct the missing data value, which can be later on used to analyze the data better. The data set, which we worked on within this research, is a data set of power plant productions of a decade in the US. Then deep learning will help us to be able to visualize the shortcoming in the approach and come up with an appropriate solution. Inspiration for this research was an old project, which included a smart power control system and a solar-wind hybrid power source, so by this research, we can identify the areas where better and smarter systems can be implemented replacing conventional methods and how to tackle the old data sets.

Keywords: Deep learning, data-handling, prophet, EDA

7.1 Introduction

Deep Learning Algorithms use a model consisting of a neural network used to ...