Optimal sizing of energy storage considering the spatial‐temporal …
Search 219,249,537 papers from all fields of science Search Sign In Create Free Account DOI: 10.1049/IET-RPG.2018.5438 Corpus ID: 115904431 Optimal sizing of energy storage considering the spatial‐temporal correlation of wind power forecast errors @article ...
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What is Spatial AI? Defining the field: Part One.
Jan 7, 2024. Spatial AI refers to the integration of artificial intelligence (AI) techniques and technologies with spatial data and processes. It involves leveraging AI algorithms to analyse ...
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A novel oscillating buoy wave energy harvester based on a spatial double X-shaped mechanism for self-powered sensors …
A novel wave energy harvester is applied to sensors of sea-crossing bridge. • A spatial double X-shaped mechanism is used for motion conversion. • The converted energy is stored in supercapacitors to power self-powered applications. • A max efficiency of 57% and
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Spatial Variability Analysis of Within-Field Winter …
Wheat grain protein content (GPC) is a key component when evaluating wheat nutrition. It is also important to determine wheat GPC before harvest for agricultural and food process enterprises in order to optimize the …
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Geospatial Information Research: State of the Art, Case Studies …
Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling, acquiring, sharing, managing, exploring, analyzing, synthesizing, visualizing, and evaluating data on spatio-temporal phenomena related to the Earth. As an interdisciplinary scientific discipline, it …
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Sensors | Free Full-Text | Time Series Analysis for Spatial Node Selection in Environment Monitoring Sensor Networks …
Wireless sensor networks are widely used in environmental monitoring. The number of sensor nodes to be deployed will vary depending on the desired spatio-temporal resolution. Selecting an optimal number, position and sampling rate for an array of sensor nodes in environmental monitoring is a challenging question. Most of the current solutions are …
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Exploration–Exploitation Tradeoff in the Adaptive Information Sampling of Unknown Spatial Fields …
Adaptive information-sampling approaches enable efficient selection of mobile robots'' waypoints through which the accurate sensing and mapping of a physical process, such as the radiation or field intensity, can be obtained. A key parameter in the informative sampling objective function could be optimized balance the need to explore …
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Comparison of the EM38 and EM38-MK2 electromagnetic induction-based sensors for spatial soil analysis at field …
Request PDF | On Dec 18, 2014, K Heil and others published Comparison of the EM38 and EM38-MK2 electromagnetic induction-based sensors for spatial soil analysis at field ...
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Land | Free Full-Text | Simulation and Attribution Analysis of Spatial–Temporal Variation in Carbon Storage …
Intensive economic and human activities present challenges to the carbon storage capacity of terrestrial ecosystems, particularly in arid regions that are sensitive to climate change and ecologically fragile. Therefore, accurately estimating and simulating future changes in carbon stocks on the northern slope economic belt of Tianshan …
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Applied Sciences | Free Full-Text | Spatial Analysis for Landscape Changes …
This special issue collects six papers that highlight the usefulness of the quantitative analyses of satellite images and DEMs to solve multidisciplinary issues of landscape changes. Rui et al. (2020) [ 1] introduce an analysis of the erosion factors controlling the evolution of a badland area of the National Geological Park of Qian, China.
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Assessing the Impact of Urbanization and Eco-Environmental Quality on Regional Carbon Storage: A Multiscale Spatio-Temporal Analysis …
Understanding the mechanisms, intensity, and spatio-temporal heterogeneity of the impacts of urbanization and eco-environmental quality on carbon storage is crucial for achieving carbon neutrality goals. This study constructed a multiscale spatio-temporal analysis framework using multi-source remote sensing data, the InVEST …
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Energies | Free Full-Text | Analysis and Visualization …
This study analyzes the instantaneous spatial energy density and Poynting vector in the WPT system and presents time-varying distributions and animations of this energy density and Poynting vector. …
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The Future of Energy Storage | MIT Energy Initiative
Video. MITEI''s three-year Future of Energy Storage study explored the role that energy storage can play in fighting climate change and in the global adoption of clean energy grids. Replacing fossil fuel-based power generation with power generation from wind and solar resources is a key strategy for decarbonizing electricity.
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Sensors | Free Full-Text | Multi-Type Sensor Placements in Gaussian Spatial Fields …
In this paper, we focus on the optimal multi-type sensor placement in Gaussian spatial field for environmental monitoring. We study two representative cases: the one-with-all case when each station is equipped with all types of sensors and the general case when each station is equipped with at least one type of sensor.
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Energy-Efficient Map Interpolation for Sensor Fields Using Kriging …
Abstract: We propose a spatial autocorrelation aware, energy efficient, and error bounded framework for interpolating maps from sensor fields. Specifically, we …
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Energy storage in the geological subsurface: dimensioning, risk …
Energy storage in the geological subsurface provides large potential capacities to bridge temporal gaps between periods of production of solar or wind power …
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Renewable Energy Green Innovation, Fossil Energy Consumption, and Air Pollution—Spatial Empirical Analysis …
Excessive consumption of traditional fossil energy has led to more serious global air pollution. This article incorporates renewable energy green innovation (REGI), fossil energy consumption (FEC), and air pollution into a unified analysis framework. Using China''s provincial panel data, a spatial measurement model was used to investigate the …
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Optimal sizing of energy storage considering the …
In this paper, wind farm A is selected as energy storage sizing target, which named TWF. Other wind farms named RWFs, are used to analyse the effects of spatial-temporal correlation on energy storage …
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Sensing as the key to battery lifetime and sustainability
Ideally, new cell-level sensors will allow us to monitor chemical–physical–thermal metrics (in operando with notable time and spatial …
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Sensors | Free Full-Text | Temperature Grid Sensor for the Measurement of Spatial Temperature …
This paper presents results of the development and application of a new temperature grid sensor based on the wire-mesh sensor principle. The grid sensor consists of a matrix of 256 Pt1000 platinum chip resistors and an associated electronics that measures the grid resistances with a multiplexing scheme at high speed. The individual …
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Sensing as the key to the safety and sustainability of new energy …
Safety and stability are the keys to the large-scale application of new energy storage devices such as batteries and supercapacitors. Accurate and robust …
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Adjusting Spectral Indices for Spectral Response …
The use of data from multiple sensors is often required to ensure data coverage and continuity, but differences in the spectral characteristics of sensors result in spectral index values being different. …
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Data‐driven sensor placement for state reconstruction via POD analysis …
IET Generation, Transmission & Distribution is a fully open access and influential journal publishing the best research in the electric power systems field. Formally, consider a sensor network consisting of m sensors, deployed to sense specific oscillatory behaviour of interest (a spatio-temporal process), where each sensor has access to only …
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Geographies | Free Full-Text | Perspectives on Advanced Technologies in Spatial Data Collection and Analysis …
Recent years have seen significant advances in the collection of spatial or spatiotemporal data from various devices and platforms, including high-resolution remote sensing platforms such as Unmanned Aerial Vehicles (UAVs) [], environmental sensor networks [], location-tracking devices [], human-wearable biometrics sensors [], …
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Sensors | Free Full-Text | Fiber Optic Sensing …
To apply quasi-distributed sensors in energy storage applications, one key aspect is to accurately match the scale of the device with the most feasible multiplexing technique that would generate the …
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Energy Storage Sensor Technology
The key topic of the group is the development of sensor and analysis systems for the state evaluation of energy storage systems. The special focus is set on safety-critical applications, sensitive infrastructures as well …
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Sensors | Free Full-Text | Analysis of Spatially Distributed Data in …
The Internet of Things consists of "things" made up of small sensors and actuators capable of interacting with the environment. The combination of devices with sensor networks and Internet access enables the communication between the physical world and cyberspace, enabling the development of solutions to many real-world …
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Sensors | Free Full-Text | Research on a Novel …
Thus far, despite the development of electric field sensors (EFSs) such as field mills, optoelectronic EFSs and microelectromechanical system (MEMS)-based EFSs, no sensor can accurately measure an electric …
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Design of spatial variability in thermal energy storage modules for …
In this paper, we derive and validate a reduced-order dynamic model of a thermal energy storage module for the purpose of design optimization and integration …
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