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Energy Analytics Lab (EAL) IIT Kanpur
Kanpur, India
D
11-50 Employees
2017
Key takeaway
The Energy Analytics Lab (EAL) at IIT Kanpur focuses on building a power market database and developing tools for data analysis and visualization. Supported by CSR funding from the Indian Energy Exchange Ltd., EAL aims to enhance academic and research efforts related to energy analytics.
Reference
Core business
Energy Analytics Lab
etalytics GmbH
Darmstadt, Germany
A
1-10 Employees
2020
Key takeaway
etalytics is focused on innovative energy solutions and actively engages in energy research and development. Their commitment to digital infrastructure and industry partnerships highlights their role in advancing energy analytics.
Reference
Core business
Company - etalytics - Energy Intelligence
Enelytics
Gaithersburg, United States
B
1-10 Employees
2006
Key takeaway
Enelytics specializes in energy analytics by offering comprehensive consulting and web application services that facilitate large-scale invoice processing, verification, and data management. Their robust systems provide clients with the ability to analyze and report on energy metrics, particularly in the context of integrating renewable energy sources into sustainable procurement strategies.
Reference
Core business
Enelytics
Enelytics provides consulting and web application services for energy invoice processing/verification, internal and external data acquisition, and energy information management, analysis, and reporting.
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GreyCloud Limited
United Kingdom
A
1-10 Employees
-
Key takeaway
GreyCloud specializes in providing analytics and insights that enhance operational performance, particularly for organizations involved in energy production. Their focus on integrated planning and strategic asset management positions them as a valuable partner for continuous improvement in energy analytics.
Reference
Product
Analytics – Analytics for Energy
Eco Energio
Aberdeen City, United Kingdom
A
11-50 Employees
2021
Key takeaway
EcoEnergio offers a smart, cloud-based platform that transforms real-time energy data into valuable insights, helping facilities understand, track, and reduce their carbon footprint. Their focus on intelligent energy analytics enables users to improve sustainability, reduce costs, and monitor carbon emissions effectively.
Reference
Core business
Home - Eco Energio | Intelligent Energy Analytics
Intelligent energy analytics platform. Turn real time energy data into a comprehensive solution unique to your building.
GEN B.V.
Utrecht, Netherlands
A
11-50 Employees
2001
Key takeaway
Energy21 is dedicated to creating a sustainable and transparent European energy market by leveraging real-time data for informed decision-making in energy production and consumption. Their focus on energy data analytics empowers organizations to trust and understand the metrics that guide their strategic and operational energy choices.
Reference
Product
Energy Data Analytics | Energy21
Energy Data Analytics
Energy Analytics Partners
Tampa, United States
B
11-50 Employees
2022
Key takeaway
The company specializes in analytics solutions for the Transmission and Distribution sectors of the Electrical Energy Industry, focusing on tailored experiences for energy organizations in the Green Economy. Their cloud-based solution, AMP, utilizes AI and Physical Digital Integration to deliver Asset Risk Profiles quickly, making it a valuable tool for energy analytics.
Reference
Service
ENERGY ANALYTICS PARTNERS
"A proven Solution for Energy Companies in the Green Economy"
Enerlytic
Manchester, United Kingdom
A
1-10 Employees
2020
Key takeaway
Enerlytic offers a platform that empowers users with clear, interactive, and automated insights into their energy portfolio. By collecting real-time data and providing comprehensive reports, Enerlytic enables customers to develop informed, data-driven energy strategies.
Reference
Core business
Enerlytic | Energy Insights Platform
Electrios Energy
Hong Kong Island, China
D
1-10 Employees
2013
Key takeaway
Electrios has a team with over 20 years of experience in energy-related fields, emphasizing data analytics in their services. They prioritize building long-term relationships and offer expert guidance throughout the production process, making them a valuable resource for energy analytics.
Reference
Product
Data Analytics – Electrios Energy
Secutech Automation (India) Pvt Ltd
Mumbai, India
D
51-100 Employees
2001
Key takeaway
Secutech Automation India Pvt. Ltd. is dedicated to enhancing operational efficiency through the integration of Artificial Intelligence and IoT in their services. Their focus on digital transformation for cities, buildings, and industries includes a commitment to Energy Analytics, which aligns with their mission to deliver straightforward outcomes by stitching data together.
Reference
Service
Energy Analytics – Secutech Automation India Pvt. Ltd.
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Energy analytics refers to the systematic analysis of energy consumption data to enhance efficiency and reduce costs. Utilizing advanced technologies, such as machine learning and big data analytics, these solutions provide insights into energy usage patterns, enabling organizations to make informed decisions. By tracking variables like demand, supply, and operational efficiency, energy analytics helps in optimizing energy management strategies. This technology is essential for businesses aiming to decrease their carbon footprint and improve sustainability efforts. It allows for real-time monitoring and predictive analysis, ensuring that energy resources are used effectively while identifying potential savings and areas for improvement.
Energy analytics significantly enhances operational efficiency by leveraging data-driven insights to optimize energy usage. By analyzing consumption patterns, organizations can identify inefficiencies and reduce waste. This leads to better resource allocation, lower energy costs, and improved sustainability practices. Furthermore, predictive analytics within energy management systems can forecast energy demand, allowing businesses to adjust their operations accordingly. This proactive approach reduces the risk of outages and ensures that energy resources are utilized effectively. Overall, energy analytics empowers organizations to make informed decisions that drive efficiency and operational excellence.
1. Improved Decision-Making
Utilizing energy analytics in renewable energy projects enhances decision-making processes. By analyzing data from various sources, stakeholders can gain insights into energy production patterns, consumption trends, and system performance. This leads to more informed choices regarding resource allocation and project development.
2. Increased Efficiency
Energy analytics helps identify inefficiencies within renewable energy systems. By monitoring performance metrics and operational data, providers can pinpoint areas for improvement, optimize energy generation, and reduce waste. This ultimately leads to greater efficiency and cost savings over the project's lifespan.
3. Enhanced Predictive Maintenance
Predictive maintenance becomes possible with energy analytics, as it allows for real-time monitoring of equipment health. By analyzing data trends, potential failures can be anticipated, enabling timely interventions that minimize downtime and extend the life of renewable energy assets.
4. Better Compliance and Reporting
Energy analytics simplifies compliance with regulations and reporting requirements. With comprehensive data tracking and analysis, organizations can easily demonstrate adherence to environmental standards and renewable energy mandates, thus avoiding potential penalties and fostering stakeholder trust.
Energy analytics can significantly reduce energy costs by providing detailed insights into energy consumption patterns. By analyzing data from various sources, these tools identify inefficiencies and highlight areas where energy usage can be optimized. When facility managers leverage energy analytics, they can implement data-driven strategies to minimize waste. This may include adjusting operational schedules, optimizing equipment performance, and even predicting maintenance needs to prevent costly downtime. Overall, the actionable insights gained from energy analytics empower organizations to make informed decisions, ultimately leading to substantial savings on energy expenses.
Energy analytics relies on various technologies to gather, analyze, and interpret energy data effectively. Smart meters play a crucial role by providing real-time data on energy consumption, allowing for accurate monitoring and evaluation. Another important technology is big data analytics, which processes large volumes of data to identify patterns and trends in energy usage. Additionally, Internet of Things (IoT) devices enable seamless connectivity and data collection from multiple sources, enhancing the overall effectiveness of energy management. Machine learning algorithms further augment energy analytics by improving predictive capabilities, leading to more efficient energy usage and cost savings.
Some interesting numbers and facts about your company results for Energy Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 6742 |
| Amount of suitable service providers | 7810 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2001 |
| Youngest suiting company | 2022 |
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Some interesting questions that has been asked about the results you have just received for Energy Analytics
What are related technologies to Energy Analytics?
Based on our calculations related technologies to Energy Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Energy Analytics?
Start-Ups who are working in Energy Analytics are etalytics GmbH, Eco Energio, Energy Analytics Partners, Enerlytic
Which industries are mostly working on Energy Analytics?
The most represented industries which are working in Energy Analytics are Oil, Energy and Gas, IT, Software and Services, Other, Utilities, Electronics and Electrical engineering
How does ensun find these Energy Analytics 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.
