AI in Energy

AI in the Energy Industry

We support energy companies in leveraging Data and Artificial Intelligence (AI) to enhance products and services, optimize processes, and identify new business models.

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Trusted by Industry LEaders
Your Experts for AI in Energy

We support energy companies in leveraging data science and AI

Data science and artificial intelligence are becoming increasingly relevant in the energy industry. Digitization, the ever faster progressing climate change, Corona and the Ukraine crisis pose great challenges for companies in this sector, but also oppor­tunities. The efficient generation and use of climate-neutral energy is of central impor­tance for the future of our planet. Data science and AI offer energy companies different ways to achieve this goal.

The ever-growing amounts of data allow the yields achieved in energy production to be optimized and the machines used to be serviced with foresight. The energy net­works themselves can also be planned, controlled and maintained using data. Methods for detecting anomalies are particularly well suited to identify irregularities and poten­tial disruptions or defects in network components, thereby ensuring better supply security. Forecasting models can be used to predict future energy demand and produ­ction capacities at the same time. For example, overcapacity and network overload can be avoided and costs reduced. AI also offers great potential on the consumer side. The energy management of individual buildings or systems can be analyzed and optimized using AI solutions. Energy consumers can view their energy consumption data down to individual devices and act accordingly.

Our AI consultants have already implemented a wide variety of projects in the energy industry and also support you in the development and implementation of data science, machine learning and AI projects in your company. Arrange a consultation to analyze your options and benefit from our experience from over 500 projects. We look forward to working with you!

Data science and AI use cases in the energy industry

Predictive Maintenance

Prevent machine and network component defects with predictive maintenance methods.

Anomaly Detection

Automatically detect patterns and anomalies in your energy generation and grid data.

Optimized Generation

With data science and AI you increase the efficiency and transparency of your generation plants.

Demand & Supply Forecasts

Reliably forecast your future energy demand and production capacity with artificial intelligence.

KPI & Sales Forecasts

Make decisions based on reliable forecasts of your sales and other KPIs such as costs, liquidity or EBIT.

Damage Detection

Use data science and artificial intelligence to reliably detect defects in oil or gas pipelines.

Customer Churn

Identify customers inclined to churn to take appropriate countermeasures in a timely manner.

Robotics

Use autonomous robots to automate and improve labor-intensive or hazardous process steps.

Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Whitepaper: KI in der Energiebranche

Implemented AI projects in the energy industry

  • Energy
  • Forecasting

Load Forecasting with Deep Learning

For our client, we developed and validated a deep learning model to forecast daily electricity consumption in various control areas in Germany.

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Load Forecasting with Deep Learning
Case study
  • Energy
  • Data Engineering
  • Frontend Solution

Implementation of a data analysis platform for the renewable energy sector

We implemented a data analysis platform for the renewable energy sector that allows our customer to process and analyze data faster and more efficiently, improving decision-making companywide.

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Implementation of a data analysis platform for the renewable energy sector
Case study
  • Energy
  • Frontend Solution

How a Monitoring App optimizes Offer Processing

By developing a monitoring app, we helped our client make transparent and informed decisions through new insights, save time through automated processes, and increase efficiency thanks to powerful database and API integration.

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How a Monitoring App optimizes Offer Processing
Case study

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Our services

AI Consulting

Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.

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AI Starter Offerings

Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.

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AI Solutions

We develop data science and AI solutions tailored to your require­ments. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.

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AI Trainings

Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.

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Your experts for AI in the Energy Industry

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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Frequently asked questions and answers

How can AI contribute to optimizing energy generation in the energy industry?

AI enhances the efficiency and transparency of generation facilities through data-driven analyses. This enables optimized energy production by better utilizing production capacities and maximizing yields.

What are the advantages of predictive maintenance in the energy sector?

Predictive maintenance prevents machine and network component defects through proactive maintenance methods. This increases supply security and reduces downtime and maintenance costs.

How does AI support the forecasting of energy demand and production capacities?

AI-driven forecasting models enable reliable predictions of future energy demand and production capacities. This helps avoid overcapacity and network overload, thereby increasing efficiency.

How can anomaly detection improve energy supply security?

Anomaly detection methods automatically identify irregularities and potential disruptions in generation and network data. This contributes to better supply security by recognizing and addressing potential issues early on.

Marcel Plaschke
More questions?
Marcel Plaschke
Head of Strategy, Sales & Marketing