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Energy Services Group
Norwell, United States
B
51-100 Employees
1997
Key takeaway
The company specializes in energy technology, offering an integrated platform that processes vast amounts of data for effective analytics, billing, and customer relationship management. Their expertise in smart meter software and commitment to data-driven decision-making positions them as a key player in harnessing big data for the energy sector.
Reference
Core business
ESG - Empowering energy leaders globally
As our world evolves to a digital, cleaner future, we provide innovative technology that empowers leaders to deliver their future promise of energy.
AlphaEdge
Graz, Austria
A
1-10 Employees
-
Key takeaway
AlphaEdge leverages Big Unstructured Data and SpaceTech to address the challenges of renewable energy in the sector. Their platform enables real-time forecasting and optimization of Smart Energy systems, enhancing the efficiency of decentralized assets like Electric Vehicles.
Reference
Core business
AlphaEdge - Big Data and SpaceTech for the Green Energy transition
AlphaEdge uses Big Unstructured Data and SpaceTech for the Green Energy transition, facing up the challenges posed by renewable energies.
dEnergyNews
Amsterdam, Netherlands
A
1-10 Employees
-
Key takeaway
dEnergy News emphasizes the critical role of data and digitalization in the energy sector, highlighting its potential to unlock significant value across the industry's value chain. Their focus on market intelligence and emerging technologies, including Big Data, showcases the ongoing transformation and innovation within this field.
Reference
Product
Technology - dEnergy News
dEnergy News Technology news and market intelligence. Discover latest trends in data and digitilization in the energy industry
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EnergyExpert
London, United Kingdom
A
1-10 Employees
2019
Key takeaway
EnergyExpert is a market intelligence service that helps energy sector companies identify and learn about digital solutions, including those related to big data applications like predictive maintenance and production optimization. By providing insights and facilitating connections with vendors, EnergyExpert supports teams in enhancing operational efficiency through innovative digital products.
Reference
Core business
DIGITAL intelligence for the Energy industry - Energyexpert
Find any digital product, service, or technology for the Oil & Gas, Power & Utilities, and Renewable Energy sectors.
Big Data Energy Services
Houston, United States
B
11-50 Employees
2012
Key takeaway
The company specializes in Digital Asset Management and processes over 110 million data points daily, highlighting its capability in handling big data, particularly in the energy sector. Their Big Data Energy Services empower clients to effectively capture and transform their data for enhanced decision-making.
Reference
Core business
Big Data Energy Services | Capture, Transform, Empower | Houston
Big Data Energy Services allows clients to unleash the power of their data.
PLATOON DigitalEnergy Project
Hanover, Germany
A
251-500 Employees
2019
Key takeaway
The company, PLATOON, has validated its project through 7 pilots across 5 countries, showcasing real cases of Big Data in the energy sector. They provide access to affordable and sustainable energy, enhancing social welfare through their Energy Big Data Analytics Tools.
Reference
Product
Energy Big Data Analytics Tools | PLATOON
HData
Joliet, United States
B
11-50 Employees
2020
Key takeaway
HData provides advanced tools for accessing and analyzing energy regulatory information, significantly reducing the complexity of regulatory work. Their innovative Regulatory AI technology connects generative AI to a comprehensive database of energy regulatory filings, enabling quick and efficient data analysis, which is crucial for enhancing business intelligence in the energy sector.
Reference
Core business
HData | FERC XBRL Compliance + Business Intelligence
HData delivers streamlined FERC XBRL compliance, rate base calculation, benchmarking and data analysis to the U.S. energy industry.
Prospero Events Group
Prague, Czechia
A
11-50 Employees
-
Key takeaway
The company will feature top experts from leading energy firms discussing the latest tools and technologies in areas such as EV infrastructure, grid resilience, and asset management, which are essential for leveraging big data in the energy sector. This event offers valuable insights and networking opportunities that could enhance the understanding and application of big data analytics in power and utilities.
Reference
Product
Big-Data Analytics in Power & Utilities - Documentation Package - Prospero Events Group
Innowatts
Houston, United States
B
51-100 Employees
2013
Key takeaway
Innowatts AI focuses on harnessing energy data to help achieve Net-Zero, profitability, and reliability goals. Their advanced machine learning models and SaaS platform provide energy providers with actionable insights, transforming how they understand and serve their customers.
Reference
Core business
Home - Innowatts | Energy Analytics
Innowatts is an advanced award-winning machine learning model providing next-generation forecast accuracy. Innowatts’ SaaS platform transforms how energy providers understand and serve their customers.
Energybit
Cherwell District, United Kingdom
A
1-10 Employees
2019
Key takeaway
Energybit specializes in advanced analytics and data management for renewable energy assets, enhancing their performance through precise monitoring and automation. Their focus on data innovation addresses key challenges in the energy sector, enabling intelligent decision-making and optimizing asset potential.
Reference
Core business
Energybit Home - ENERGYBIT
Technologies which have been searched by others and may be interesting for you:
Big Data in the energy sector refers to the vast volumes of data generated from various sources such as smart meters, sensors, and geographic information systems. This data can be analyzed to improve operational efficiency, enhance energy management, and optimize resource allocation. By utilizing advanced analytics and machine learning techniques, energy providers can gain insights into consumption patterns, predict demand fluctuations, and identify potential equipment failures before they occur. The integration of Big Data technologies allows for real-time monitoring and decision-making, ultimately leading to reduced costs and improved sustainability practices. As the energy sector increasingly adopts renewable sources, Big Data plays a crucial role in managing the complexities associated with grid integration and energy distribution.
Big Data plays a crucial role in enhancing energy efficiency by analyzing vast amounts of data generated from various sources within the energy sector. By leveraging analytics, companies can identify patterns and trends in energy consumption, allowing them to optimize operations and reduce waste. Smart meters and IoT devices collect real-time data on energy usage, which can be processed to forecast demand accurately. This helps in making informed decisions regarding energy distribution, ensuring that supply aligns with consumption patterns. Additionally, predictive analytics enables proactive maintenance of equipment, reducing downtime and improving overall system reliability.
1. Improved Operational Efficiency
Big Data analytics allows energy companies to monitor and analyze vast amounts of operational data in real time. This leads to optimized performance, reduced downtime, and enhanced asset management. By leveraging predictive maintenance, companies can identify potential issues before they escalate, saving both time and resources.
2. Enhanced Decision-Making
With access to comprehensive data analytics, energy providers can make informed decisions based on insights derived from historical and real-time data. This capability aids in demand forecasting, pricing strategies, and resource allocation, ultimately resulting in more strategic planning and improved financial outcomes.
Big Data significantly enhances renewable energy management by enabling more efficient forecasting and resource allocation. By analyzing vast amounts of data from various sources, such as weather patterns, energy consumption statistics, and operational metrics, energy providers can optimize the generation and distribution of renewable energy. Moreover, predictive analytics helps in anticipating energy demand and supply fluctuations, ensuring that renewable sources like wind and solar are utilized effectively. This data-driven approach not only improves the reliability of renewable energy systems but also supports the integration of diverse energy sources, ultimately contributing to a more sustainable energy infrastructure.
Big Data in the energy sector encounters several significant challenges that can affect its implementation and effectiveness. One major issue is the sheer volume and variety of data generated from diverse sources such as smart grids, sensors, and IoT devices. Managing this extensive amount of data requires advanced analytics tools and robust infrastructure to ensure effective processing and storage. Another challenge is data security and privacy. With increasing amounts of sensitive information being collected, energy providers must implement stringent security measures to protect against cyber threats and data breaches. Additionally, integrating legacy systems with new data analytics technologies can pose compatibility issues, complicating the transition to data-driven decision-making. These hurdles must be navigated to fully harness the potential of Big Data in optimizing energy production, distribution, and consumption.
Some interesting numbers and facts about your company results for Big Data In Energy Sector
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 7791 |
| Amount of suitable service providers | 8409 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1997 |
| Youngest suiting company | 2020 |
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Some interesting questions that has been asked about the results you have just received for Big Data In Energy Sector
What are related technologies to Big Data In Energy Sector?
Based on our calculations related technologies to Big Data In Energy Sector are Education, Engineering Services, IT & Technology Services, Healthcare Services, Consulting
Who are Start-Ups in the field of Big Data In Energy Sector?
Start-Ups who are working in Big Data In Energy Sector are HData
Which industries are mostly working on Big Data In Energy Sector?
The most represented industries which are working in Big Data In Energy Sector are IT, Software and Services, Oil, Energy and Gas, Other, Utilities, Electronics and Electrical engineering
How does ensun find these Big Data In Energy Sector Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
