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Austin, United States
11-50 Employees
2017
We are technology agnostic and offer solutions for all renewable energy sources - including wind, solar, and battery storage power plants. We are happy working with the team and the overall experience. We are truly happy with team and the product. It is a one-stop digital solution to overcome all your renewable portfolio worries with our APMS tool asset management tool integration software — from securely merging all data in a central location, to efficiently monitoring assets across time zones;. IPPs, RE Asset Owners, Asset Managers and and O&M service providers across the Globe make use of Apollo’s software to efficiently run their business. The software core offerings solutions include central remote monitoring (CMS), computerised maintenance management (CMMS), and predictive analytics underperformance analysis. The key USP of Apollo is that it delivers business value and an increased ROI for customers with its predictive analytics engine powered by patented digital twin (WO2020202184A1), AI/ML models and pattern recognition technology. Built on 4 vital cornerstones - transparency, solutions, sustainability and people - Apollo has developed solar energy analytics for the renewable energy sector globally, delivering actionable energy-loss insights to solve complex business problems and improve asset health in the renewable energy sector.
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Comprehensive energy analytics for your Renewable portfolio
... Apollo Energy Analytics is a top provider of solar, wind, and the best software for asset management in the United States and globally, offering the most advanced, actionable software insights for renewable energy assets. ...
Houston, United States
51-100 Employees
2013
Innowatts AI enables your Net-Zero, Profitability, and Reliability goals by extracting and delivering value from Energy Data. The Innowatts SaaS platform transforms how energy providers understand and serve their customers. Integrates with your business operations to safely deliver the Energy Insights you require. Unlock value from your Meter level Data through Industry leading Insights. Advanced award-winning machine learning models providing next generation forecast accuracy. Deliver the Sustainability, Reliability and Profitability goals of your business today. If you are interested in becoming part of the Innowatts team, start here. Our AI-powered platform has learned from over 52 million meters and delivers actionable and amplified business insights and knowledge.
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Deliver - Innowatts | Energy Analytics
... Deliver - Innowatts | Energy Analytics ...
Mountain View, United States
101-250 Employees
2010
for utilities and their customers, accelerating the clean energy future. Learn How We Are Accelerating The Clean Energy Future Together. What Will it Take to Keep the Lights On? Utilities and Consumers, Working Together to do our parts. The EV Revolution, A Future We Can Manage.
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Technology - - Bidgely UtilityAI™ - Energy Analytics
... Bidgely is the industry's AI-powered, data-driven energy analytics leader and UtilityAITM is the only true disaggregation platform. UtilityAI was designed from the ground up with a "built-in" approach that outperforms "bolt-on" energy software solutions that have failed to integrate acquired ...
Tampa, United States
11-50 Employees
2022
We are the leading innovators of analytics solutions for Transmission and Distribution functions within the Electrical Energy Industry. That is why our goal is to provide an experience specifically tailored to your company's needs. AMP is cloud-based solution built specifically for Energy organizations in the Green Economy. AMP leverages AI and Physical Digital Integration that provides Asset Risks Profiles in as little as 90 days. We guarantee our product and services to ensure that you are 100% satisfied.
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ENERGY ANALYTICS PARTNERS
... ENERGY ANALYTICS ...
Stow, United States
1-10 Employees
2019
Our services include energy data analysis, evaluation, monitoring and verification (EM&V), energy auditing in residential, commercial, and industrial settings, and energy efficiency engineering. Ridgeline Energy Analytics provides data-driven, energy management consulting services. We focus on solutions that are energy efficient, sustainable, and cost effective. Matthew Piantedosi is a solar and electrical code expert. Matt has more than 20 years of experience in the electrical field and more than 13 years of experience providing energy conservation solutions and consulting. Sarah has more than 20 years of experience in the electrical construction field, including inspecting and supervising the work of apprentices. They also provide analysis of solar applications for residential and commercial programs. Amelia is a NABCEP Certified PV System Inspector.
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Ridgeline Energy Analytics
... Ridgeline Energy Analytics, Inc. ...
Milwaukee, United States
11-50 Employees
2018
Our studies and delivered reports have been used in regulatory tribunals, by both supply and control groups. We retain a staff of experienced industry leading experts that can weigh in on events, forecasts, regulatory tribunals, or any individual request dealing with forecasting demand. Additional to consulting, we now offer forecasting by premise, or leveled forecasting, to further help utilities navigate this constantly changing landscape. Our flagship SaaS product, MCast GasDay, forecasts RCI gas demand for more than 25% of the United States. Tom’s comprehensive knowledge of computational science and years of experience conducting business in the energy industry allows him to surely steer Marquette Energy Analytics towards the future of serving US Utilities. Brown founded the company’s predecessor, Marquette University’s GasDay Energy Demand Research Laboratory in 1993, to support some of the very first academic research into energy demand forecasting. George Corliss is the Senior Scientist of Marquette Energy Analytics, LLC. Corliss joined the GasDay lab in 2003, also as the Senior Scientist, and since has specialized in mentoring graduate students and developing custom solutions for complex problems.
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Marquette Energy Analytics helps you prepare for the unexpected.
... Marquette Energy Analytics specializes in energy demand modeling, forecasting, and analytics. We customize and scale every implementation to fit your company's needs. We are a dedicated team that provides unmatched analysis, insights, customer support, and solutions for all your ...
Morgantown, United States
11-50 Employees
We are confident that we can help develop and meet the needs of our customers’ most challenging testing needs. We are always looking for qualified candidates who are interested in joining our innovative and dynamic team. Energy Environmental Analytics (E2A) mission is to lead research and development of those technologies that will provide for sustainable transportation and power systems of the future. E2A performs leading-edge engine testing and analysis across both light and heavy-duty platforms. As pioneers in the emissions testing space, we encourage you to explore all the capabilities that E2A has to offer in its laboratory located in the rolling hills of Appalachia. Energy Environmental Analytics was founded in 2022 as the acquisition of West Virginia University’s Center for Alternative Fuels Engines and Emissions (CAFFE). E2A’s state-of-the-art laboratory performs leading-edge engine testing and analysis across both light and heavy-duty platforms. Our past programs have covered a broad spectrum of emissions testing: heavy-duty on-highway, non-road applications, spark-ignited engines, locomotive, marine, and alternatively fueled engines.
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Energy Environmental Analytics
... Energy Environmental Analytics ...
Paris, France
1-10 Employees
2015
We correlate existing, sparse grid information to provide DSOs with accurate, high resolution, end-to-end visibility into the energy flows and congestion levels at any point and asset in the grid.
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AI Powered Analytics for Energy & Industry
... AI Analytics for Energy and ...
Westfield, United States
1-10 Employees
2018
The SAG-PM ™ SCRM application provides Software consumers with a transparent look at the risks in a software package, prior to any attempt at installation in a Companies digital ecosystem. SAG-PM ™ is available at a price point attractive to smaller entities with limited Cybersecurity budgets and lacking cybersecurity expertise. Our knowledge and experience working on Energy Industry cybersecurity solutions and applications extends back to 1990 combined with over 40 years of successful software engineering and systems architecture implementations. We are uniquely qualified to provide an expert level understanding of IT/OT cybersecurity functions important to the Energy industry, and other critical infrastructure operations, especially with regard to risk management and analysis, having built ISO-NE's own Business Intelligence and Advanced Data Analytics platform. We are not aware of any other software vendor with the combination of superior technical skills and an intimate knowledge of IT/OT functions within ISO/RTO organizations that has produced a highly effective and efficient software supply chain risk assessment solution for the energy industry (SAG-PM ™ ) that follows NIST and NATF requirements.
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Reliable Energy Analytics
... Reliable Energy Analytics ...
Centennial, United States
11-50 Employees
2014
Our mission is to revolutionize decision-making using cutting-edge analytic tools. We are appreciative for the opportunity to serve you and your business by the following:. Now in our 9th year of operations, Blue River Analytics has proudly served and delivered unparalleled value to hundreds of esteemed customers—and we continue to grow. As the industry’s last independent oil and gas analytics boutique specializing pure Spotfire, our laser focus remains on providing unparalleled service. We take pride in having one of the world’s finest teams dedicated to our mission. Our enthusiasm doesn’t stop there; we are equally thrilled about the transformative capabilities of Spotfire. We believe in operating our business by a set of strict values. As your trusted partner, our team boasts over a century of combined oil and gas industry expertise.
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Featured
Energy Analytics Workbench®
... Energy Analytics Workbench® – Blue River ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Energy Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 170 |
| Amount of suitable service providers | 139 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2010 |
| Youngest suiting company | 2022 |
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Energy analytics refers to the comprehensive process of collecting, analyzing, and interpreting large sets of energy data to identify trends, forecast energy consumption, and enhance energy efficiency. This multidisciplinary approach combines advanced data analytics techniques, such as machine learning and big data analysis, with domain-specific knowledge in energy systems to optimize energy use, reduce operational costs, and minimize environmental impact. By leveraging energy analytics, organizations and utilities can gain valuable insights into their energy consumption patterns, enabling them to make informed decisions about energy management, procurement, and investment. This process not only aids in identifying inefficiencies in energy usage but also supports the development of strategies for demand response, renewable energy integration, and smart grid management. As a result, energy analytics plays a pivotal role in driving sustainability efforts, improving energy resilience, and fostering innovation within the energy sector. Its impact extends beyond operational efficiencies to influence policy making and strategic planning, underscoring its importance in addressing the global challenge of achieving energy sustainability in an increasingly resource-constrained world.
1. Enhanced Decision Making
Energy analytics offers precise data-driven insights, allowing businesses to make informed decisions about energy consumption and efficiency. Unlike traditional methods, which often rely on estimates, energy analytics provides accurate and actionable information that can lead to significant cost savings and optimized energy use.
2. Real-Time Monitoring and Alerts
One of the standout advantages is the ability for real-time monitoring of energy systems. This feature far surpasses manual tracking or periodic audits by providing instant alerts for any irregularities or inefficiencies. This immediate feedback enables quicker responses to potential issues, preventing energy wastage and reducing downtime.
3. Customizable Reports and Dashboards
Energy analytics platforms offer customizable reporting tools that surpass the generic reports generated by traditional systems. Users can tailor their dashboards to monitor the metrics most relevant to their operation, improving the clarity and relevance of data collected. This customization aids in identifying specific areas for improvement and tracking progress towards energy efficiency goals more effectively.
4. Sustainability and Compliance
Finally, energy analytics supports sustainability efforts by providing detailed insights into a company's energy consumption patterns. It helps in not only reducing operational costs but also in ensuring compliance with evolving environmental regulations. This advantage is crucial for businesses aiming to maintain a competitive edge and demonstrate their commitment to sustainability.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Security and Privacy
Ensure the supplier adheres to strict data security protocols and privacy regulations to protect sensitive information.
2. Scalability
The solution should be scalable to accommodate your organization's growth and handle increasing data volumes seamlessly.
3. Integration Capabilities
Verify that the system easily integrates with existing hardware and software infrastructure, including IoT devices and other analytics platforms.
4. Real-time Data Processing
The ability to process and analyze data in real-time is crucial for timely decision-making and operational efficiency.
5. Customization
Look for solutions that offer customization options to meet specific needs and preferences of your business.
6. Technical Support and Training
Assess the quality of technical support and the availability of training resources to ensure smooth implementation and usage.
7. Cost-Effectiveness
Consider not only the initial investment but also the long-term value, including maintenance costs and potential ROI.
Energy analytics have become pivotal in transforming how businesses manage and optimize their energy consumption, leading to significant cost savings and operational efficiency. In the manufacturing sector, energy analytics tools enable companies to monitor real-time energy usage and identify inefficiencies in their production processes. By analyzing patterns and pinpointing areas of excessive energy consumption, businesses can implement targeted improvements, reducing waste and lowering operational costs. In the realm of commercial real estate, owners leverage energy analytics to enhance building performance. Through the collection and analysis of data from heating, ventilation, and air conditioning (HVAC) systems, lighting, and other energy-consuming assets, property managers can optimize energy use, improve tenant comfort, and achieve sustainability goals. This proactive approach to energy management not only reduces costs but also increases the value of the property by making it more attractive to eco-conscious tenants. The utility industry utilizes energy analytics for demand forecasting and grid management. By predicting energy demand spikes and understanding consumption patterns, utilities can better manage energy distribution, reduce the need for expensive peak-time energy production, and enhance grid reliability. This strategic use of data not only helps in managing current resources but also in planning for future infrastructure investments, ensuring a stable and efficient energy supply. Across these diverse industries, energy analytics serve as a powerful tool for achieving operational excellence, sustainability, and cost-efficiency, demonstrating its versatility and value in a B2B context.
Energy analytics, a pivotal technology in optimizing energy use and enhancing sustainability efforts, currently stands at a high Technology Readiness Level (TRL) of 8 to 9. This classification signifies that energy analytics technologies are not only fully developed but have also been validated in real-world environments. The ascendancy to such a high TRL is attributed to substantial advancements in data analytics, machine learning, and IoT (Internet of Things) technologies. These technical foundations enable the detailed collection, analysis, and interpretation of vast amounts of energy usage data across various sectors. Machine learning algorithms have become particularly adept at identifying patterns and inefficiencies in energy consumption, allowing for predictive maintenance and real-time energy optimization strategies. Furthermore, the integration of IoT devices has facilitated the seamless gathering of real-time data from a multitude of sensors and devices, enhancing the accuracy and applicability of energy analytics solutions. The convergence of these technologies has not only validated the effectiveness of energy analytics in operational environments but also underscored its critical role in achieving energy efficiency and sustainability targets. Consequently, the high TRL of energy analytics reflects its technical maturity and readiness for widespread adoption across industries seeking to reduce their energy footprint and optimize consumption.
In the Short-Term, energy analytics is poised to become more user-friendly and accessible to a wider range of businesses. This will be facilitated through the integration of AI and machine learning algorithms that can simplify complex data analysis, making it easier for companies to optimize energy consumption and reduce costs. The immediate focus will be on enhancing real-time data monitoring and predictive analytics capabilities, allowing for more immediate and actionable insights. Mid-Term advancements are expected to focus on the integration of Internet of Things (IoT) technologies with energy analytics platforms. This will enable a more detailed and granular level of energy monitoring and management across various devices and systems. The proliferation of smart devices and sensors will feed into analytics platforms, providing a richer dataset for analysis. This period will also see an emphasis on cybersecurity measures to protect the increasing amount of data being generated and analyzed. Looking towards the Long-Term, the future of energy analytics will likely be shaped by the widespread adoption of blockchain technology, facilitating secure and transparent peer-to-peer energy transactions. Additionally, advancements in quantum computing will revolutionize data processing capabilities, allowing for the analysis of vast datasets at unprecedented speeds. This will unlock new levels of optimization and efficiency in energy management, pushing the boundaries of what’s currently possible in energy conservation and sustainability efforts.
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 Energy Analytics Partners
Which industries are mostly working on Energy Analytics?
The most represented industries which are working in Energy Analytics are Information Technology, Energy, Software, Professional Services, Data and Analytics
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.
