Configuration and Optimization of Energy Storage Capacity of Zero Carbon Big Data …
The optimization of energy storage capacity is an effective measure to reduce the construction cost for the zero-carbon big data park powered by renewable energy. This study first analyzes the characteristics of the power source and grid network of the zero-carbon big data park. Then Comprehensively considering the investment cost, operation, …
Data-driven framework for large-scale prediction of charging energy …
Big data platform and real-world EV data To incorporate real-world EV charging profiles in the analyses, we utilize the datasets and cloud computing ability of the National Monitoring and Management Center for New Energy Vehicles, which is China''s national big data platform for EVs.
An intelligent energy efficient storage system for cloud based big data …
Storage technology has emerged as an indispensable paradigm for processing various applications in cloud data centers. The storage infrastructure consisting of Hard Disk Drives (HDDs) and Solid-State Drives (SSDs) accounts for high energy consumption. Also, the trade-offs between HDDs and SSDs in terms of cost and energy …
Distributed Energy
Construction of New Energy Monitoring and Big Data Platform Based on Cloud-Side Collaboration. In order to solve the problems of chaotic control and inefficient maintenance of new energy stations, with the rapid development of big data, cloud platform, internet of things and other related technologies, the construction of new energy monitoring ...
Big Data and Cloud Computing Platform for Energy Internet …
This paper discusses the development of the two core technologies of supporting the development of Energy Internet: big data and cloud computing. We mainly focus on the big data platform and cloud computing platform''s architecture and then summarize the use cases based on the proposed framework. 2. Big Data Platform.
Energy and AI
A battery is a complex nonlinear system with many state variables. Therefore, the establishment of an efficient and accurate BMS is the key to effective battery management and the basis for battery control. As shown in Fig. 2, the basic functions of a BMS should include battery data acquisition, modeling and state estimation, charge and …
Energies | Special Issue : Big Data Analytics for Smart …
Utilization of this large data (or "big data"), along with the use of proper data analytics, will allow for useful insights to be drawn that will help energy systems to …
Energy Big Data Analytics Tools | PLATOON
These analytical tools can be grouped into two categories: Generic Big Data tools, such as data ingestion and integration tools, visualisation tools, among others. Energy-specific tools for application in the energy sector, such as, demand forecast tools, energy usage optimisation tools, predictive maintenance tools, among others.
Energy-Efficient Big Data Analytics in Datacenters
An efficient storage mechanism for big data is an essential part of the modern datacenters. The main requirement for big data storage is file systems that is the foundation for applications in higher levels. The Google file system (GFS) is a distributed file system (DFS) for data-centric applications with robustness, scalability, and ...
Energy Data Platform | ICOS
Autogrid''s Energy Data Platform is built upon software engines that pull together existing tangible resources to provide a unified management system that continuously optimizes the balance of power flow. EDP includes Software Defined Power ™, a software that allows utilities and new energy providers to integrate intermittent renewables like ...
Energies | Special Issue : Big Data Analytics for Smart …
This Special Issue aims to present the macro-environment, cutting-edge technologies, methodologies and applications of big data analytics for smart energy systems. Topics of interest for publication …
Configuration and Optimization of Energy Storage Capacity of …
Abstract: The optimization of energy storage capacity is an effective measure to reduce the construction cost for the zero-carbon big data park powered by renewable energy. This …
A Big Data platform for smart meter data analytics
Its implementation is a big data platform named SMASH, shortened for "Smart Meter Analytics Scaled by Hadoop". Fig. 1 illustrates its major components, namely data storage, big data platform including hardware, middle-ware and data mining applications, and web-based graphic user interface. The round circle indicates the.
DEWA R&D Data Lake: Big Data Platform for Advanced Energy Data …
The digital transformation of the utility sector has resulted in a flood of data incoming from diverse and dispersed data sources, which requires huge integration, storage, processing, and management efforts. In this work, we present a Big Data advanced analytics platform for utility data, that allows for easier data retrieval, processing, and visualization, with …
Reinventing Energy with Energy Data Insights™ on AWS for the OSDU® Data Platform
A reliable and secure energy supply is at the heart of today''s world. Oil and gas companies are facing a perfect storm of operational and business challenges. Transition to renewable energy sources, volatile commodity prices, increasingly strict environmental regulations, increasing geopolitical and macroeconomic uncertainty, and all amidst …
Energy efficiency optimization in big data processing platform by …
In an application co-location environment, resource contention and sharing are related technologies for performance or energy consumption optimization. For CPU and disk resource, Manousakis et al. [18] take the data-access into consideration, they proposed an energy profiling tool for task-parallel programs, by which the data locality and memory …
Energy big data: A survey | IEEE Journals & Magazine | IEEE …
In this paper, we first give a brief introduction on big data, smart grid, and big data application in the smart grid scenario. Then, recent studies and developments are …
What Is a Data Platform? Examples of Big Data Platforms
What Is a Data Platform? 31 Examples of Big Data Platforms to Know. These big data platforms can store and analyze huge volumes of information ranging from transaction data to geotags. It''s unclear when plain old "data" became "big data."The latter term probably originated in 1990s Silicon Valley pitch meetings and lunch rooms. ...
DOE global energy storage database — A platform for large scale …
The U.S. Department of Energy (U.S. DOE) Global Energy Storage Database (GESDB) is an openly accessible archive of electrical energy storage projects …
Big data driven vehicle battery management method: A novel …
First of all, to integrate the battery big data resources in the cloud, a Cyber-physical battery management framework is defined and served as the basic data platform for battery modeling issues. And to improve the quality of the collected battery data in the database, this work reports the first attempt to develop an adaptive data cleaning method …
Artificial Intelligence for Energy Storage
Stem''s operating system is Athena, the industry-leading artificial intelligence (AI) platform available in the energy storage market. This whitepaper gives businesses, developers, …
Research on Power Big Data Storage Platform Based on …
This paper is aimed at power big data, in-depth analysis of a variety of power data characteristics, based on distributed file systems, the development of power big data storage platform. According to different data types, corresponding storage strategies are formulated, and a power large data storage platform based on distributed file …
Sustainability | Free Full-Text | Energy-Aware Cluster Reconfiguration Algorithm for the Big Data Analytics Platform …
The development of Cloud computing and data analytics technologies has made it possible to process big data faster. Distributed computing schemes, for instance, can help to reduce the time required for data analysis and thus enhance its efficiency. However, fewer researchers have paid attention to the problem of the high-energy consumption of the …
Energy Efficiency Optimization in Big Data Processing Platform by Improving Resources Utilization …
Firstly, the new strategy divides the cluster into two different storage areas to meet the needs of saving energy: Active-Zone and Sleep-Zone; secondly, the new strategy has made improvements on ...
Big Data Defined: Examples and Benefits | Google Cloud
Big data refers to extremely large and diverse collections of structured, unstructured, and semi-structured data that continues to grow exponentially over time. These datasets are so huge and complex in volume, velocity, and variety, that traditional data management systems cannot store, process, and analyze them.
Big Data Energy Services | Capture, Transform, …
Big Data Energy uses the most advanced and secure data exchange methods to capture your data, no matter the source or format. Our powerful Unified Platform transforms your data into usable, normalized formats …
Energy big data: A survey | IEEE Journals & Magazine | IEEE …
As a significant application of energy, smart grid is a complicated interconnected power grid that involves sensors, deployment strategies, smart meters, and real-time data processing. It continuously generates data with large volume, high velocity, and diverse variety. In this paper, we first give a brief introduction on big data, smart grid, and big data application …
Toward an Energy Data Platform Design: Challenges and …
This paper will describe the layered SYNERGY Reference Architecture that consists of a Cloud Infrastructure, On-Premise Environments, and Energy Apps and …
Standard Energy Efficiency Data (SEED) Platform
SEED helps automate the process of formatting, matching, cleaning, and validating data to identify errors. SEED allows multiple parties to work on the same dataset and keep track of edits and activities. SEED''s application programming interface (API) allows selected data to be shared directly with other software tools or public-facing dashboards.
