☆ 4.7 Article

A Cyber-Secure generalized supermodel for wind power forecasting based on deep federated learning and image processing

ENERGY CONVERSION AND MANAGEMENT (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Thermodynamics

Optimal strategies of deployment of far offshore co-located wind-wave energy farms

Aitor Saenz-Aguirre et al.

Summary: This paper analyzes the ability of wave energy converters to maximize hydrogen production in hybrid wind and wave far offshore farms. Through various methods and simulations, the feasibility and applicability of this technology in certain offshore areas are determined, offering a viable solution to improve efficiency and economic profit of offshore farms.

ENERGY CONVERSION AND MANAGEMENT (2022)

添加到收藏夹

Review Thermodynamics

Photovoltaic array reconfiguration under partial shading conditions for maximum power extraction: A state-of-the-art review and new solution method

Sevda Rezazadeh et al.

Summary: This paper introduces dynamic and static PV array reconfiguration methods and proposes a novel static-based technique called 8-Queen's for reconfiguring a specific type of PV array. The effectiveness of the 8-Queen's technique is demonstrated through experiments in different scenarios. Performance evaluation in real-world PV arrays also shows the feasibility of the proposed technique for maximum power point tracking under PSCs.

ENERGY CONVERSION AND MANAGEMENT (2022)

添加到收藏夹

Article Automation & Control Systems

Turn-to-Turn Short Circuit Fault Localization in Transformer Winding via Image Processing and Deep Learning Method

Arash Moradzadeh et al.

Summary: This article presents a technique for interpreting frequency responses using image processing and a deep learning method called graph convolutional neural network (CNN). The proposed technique transfers frequency responses into 2-D images and applies CNN for precise fault detection and location in power transformer windings, providing an important step for automatic interpretation of frequency responses for online monitoring.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

添加到收藏夹

Article Thermodynamics

An improved residual-based convolutional neural network for very short-term wind power forecasting

Ceyhun Yildiz et al.

Summary: This study introduces a novel deep learning method for wind power forecasting and demonstrates its competitive performance in very short-term wind power forecasting through experimental results.

ENERGY CONVERSION AND MANAGEMENT (2021)

添加到收藏夹

Review Thermodynamics

Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review

Javier Almorox et al.

Summary: This study reviewed Total Solar Irradiance (TSI) and Solar Constant (SC), reevaluated them, and developed new seasonal radiation coefficient sets. It recommended using a TSI value of 1361 W m(-2) in solar radiation models for accuracy, highlighting the importance of local and seasonal calibration coefficients.

ENERGY (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A practical solution based on convolutional neural network for non-intrusive load monitoring

Arash Moradzadeh et al.

Summary: This study presents an effective solution based on convolutional neural network to detect and distinguish types of electrical appliances and disaggregate total power consumption. Through experimental evaluation and training testing, the proposed method demonstrates high accuracy and efficiency in solving NILM problems compared to other methods.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

An overview of performance evaluation metrics for short-term statistical wind power forecasting

J. M. Gonzalez-Sopena et al.

Summary: Wind power forecasting accuracy is crucial for energy trading and grid operation, and assessing the forecast accuracy of different WPF models is essential. The concept of robustness is introduced to validate the effectiveness of models in various wind power generation scenarios. A numerical study using decomposition-based hybrid models is conducted to analyze the robustness of performance evaluation metrics under different conditions in wind power forecasting, with data from Ireland examined at two resolutions for accuracy assessment.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Multi-step wind speed forecast based on sample clustering and an optimized hybrid system

Xue-Jun Chen et al.

Summary: The study introduces a multi-step forecasting method called ECKIE, which effectively predicts very-short-term wind speed at specific stations. This method reduces forecasting errors through data filtering, clustering, and model construction processes, and outperforms comparable models in simulations.

RENEWABLE ENERGY (2021)

添加到收藏夹

Article Energy & Fuels

Energy Harvesting and Water Saving in Arid Regions via Solar PV Accommodation in Irrigation Canals

Ayman Alhejji et al.

Summary: This study aims to develop a practical approach to reduce water evaporation in the Egyptian irrigation system by covering canals with solar photovoltaic panels, while also considering factors such as energy cost, net present value, and greenhouse gas emissions to develop a technoeconomically feasible grid-connected renewable integrated system. By utilizing an innovative metaheuristic algorithm and comparing results with genetic algorithm and particle swarm optimization, the optimal sizing and configuration of the on-grid solar PV accommodation for irrigation systems can be determined to minimize impact on the levelized cost of energy.

ENERGIES (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Ecological impacts of run -of -river hydropower plants ? Current status and future prospects on the brink of energy transition

Alban Kuriqi et al.

Summary: The widespread perception of small run-of-river hydropower plants as renewable energy sources has led to their global proliferation, but such schemes may have negative impacts on fluvial ecosystems. Different types of small run-of-river hydropower schemes have varying ecological impacts, with diversion weir and pondage schemes being less eco-friendly compared to dam-toe schemes. Environmental flows are crucial for ecosystem conservation in rivers affected by hydropower operations.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

添加到收藏夹

Review Thermodynamics

A review of sensitivity analysis practices in wind resource assessment

Olga Tsvetkova et al.

Summary: The review provides an overview of sensitivity analysis in wind resource assessment, highlighting the lack of consensus in defining sensitivity analysis, the prevalence of nonlinear models, and the common pitfalls in the field. It calls for a rethinking on how to conduct sensitivity analysis and includes a comparison of one-at-a-time and global sensitivity analysis methods for linear and nonlinear models.

ENERGY CONVERSION AND MANAGEMENT (2021)

添加到收藏夹

Article Construction & Building Technology

Cyber-Resilient Smart Cities: Detection of Malicious Attacks in Smart Grids

Mostafa Mohammadpourfard et al.

Summary: Future cities face a challenge in achieving environmental sustainability while also defending against cyber threats. Ensuring the cybersecurity of smart grids is crucial, especially with growing uncertainties and the impact of renewable energy resources. The development of LSTM-based attack detection models shows promise in accurately capturing the dynamic behaviors of modern power grids and outperforming traditional methods in detecting real-time attacks.

SUSTAINABLE CITIES AND SOCIETY (2021)

添加到收藏夹

Article Computer Science, Information Systems

High Impedance Single-Phase Faults Diagnosis in Transmission Lines via Deep Reinforcement Learning of Transfer Functions

Hamid Teimourzadeh et al.

Summary: Accurate and fast fault detection in transmission lines is crucial for power system reliability. Existing methods often suffer from false detections of high-impedance faults. This paper introduces the TF method, followed by the utilization of CNN and DRL hybrid model to identify and locate faults. Results show DRL model outperforms CNN in early detection of high-impedance faults.

IEEE ACCESS (2021)

添加到收藏夹

Article Energy & Fuels

Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network

Cong Wang et al.

APPLIED ENERGY (2020)

添加到收藏夹

Article Thermodynamics

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

Zhiyun Peng et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Thermodynamics

Medium-term wind power forecasting based on multi-resolution multi-learner ensemble and adaptive model selection

Chao Chen et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Thermodynamics

Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks

Dengji Zhou et al.

ENERGY (2020)

添加到收藏夹

Article Thermodynamics

A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

Gholamreza Memarzadeh et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Thermodynamics

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

Sinvaldo Rodrigues Moreno et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Thermodynamics

Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction

Hui Liu et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Green & Sustainable Science & Technology

Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms

Arash Moradzadeh et al.

SUSTAINABILITY (2020)

添加到收藏夹

Article Energy & Fuels

Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder

Hui Liu et al.

APPLIED ENERGY (2020)

添加到收藏夹

Article Thermodynamics

Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting

Guowei Zhang et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Review Thermodynamics

A review on multi-objective optimization framework in wind energy forecasting techniques and applications

Hui Liu et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

添加到收藏夹

Article Energy & Fuels

Hybrid system based on a multi-objective optimization and kernel approximation for multi-scale wind speed forecasting

Wenyu Zhang et al.

APPLIED ENERGY (2020)

添加到收藏夹

Review Computer Science, Information Systems

Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications

Rajaa Vikhram Yohanandhan et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms

Amirhossein Ahmadi et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Through the looking glass: Seeing events in power systems dynamics

Vladimiro Miranda et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)

添加到收藏夹

Article Energy & Fuels

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

Ying-Yi Hong et al.

APPLIED ENERGY (2019)

添加到收藏夹

Review Energy & Fuels

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

Hui Liu et al.

APPLIED ENERGY (2019)

添加到收藏夹

Article Thermodynamics

Fault diagnosis for photovoltaic array based on convolutional neural network and electrical time series graph

Xiaoyang Lu et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

添加到收藏夹

Review Thermodynamics

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

Hui Liu et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

Influence of hydrologically based environmental flow methods on flow alteration and energy production in a run-of-river hydropower plant

Alban Kuriqi et al.

JOURNAL OF CLEANER PRODUCTION (2019)

添加到收藏夹

Article Engineering, Electrical & Electronic

Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks

Mingjian Cui et al.

IEEE TRANSACTIONS ON SMART GRID (2019)

添加到收藏夹

Article Energy & Fuels

Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

Hui Liu et al.

APPLIED ENERGY (2019)

添加到收藏夹

Article Thermodynamics

Wind power forecasting based on daily wind speed data using machine learning algorithms

Halil Demolli et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

添加到收藏夹

Article Energy & Fuels

Multi-step wind speed forecasting based on numerical simulations and an optimized stochastic ensemble method

Jing Zhao et al.

APPLIED ENERGY (2019)

添加到收藏夹

Article Thermodynamics

Echo state network based ensemble approach for wind power forecasting

Huaizhi Wang et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

添加到收藏夹

Article Thermodynamics

Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction

Yanfei Li et al.

ENERGY CONVERSION AND MANAGEMENT (2018)

添加到收藏夹

Article Computer Science, Information Systems

Visualizing the Electrical Structure of Power Systems

Paul Cuffe et al.

IEEE SYSTEMS JOURNAL (2017)

添加到收藏夹

Review Engineering, Electrical & Electronic

A Review of False Data Injection Attacks Against Modern Power Systems

Gaoqi Liang et al.

IEEE TRANSACTIONS ON SMART GRID (2017)

添加到收藏夹

Article Green & Sustainable Science & Technology

Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation

William Y. Y. Cheng et al.

RENEWABLE ENERGY (2017)

添加到收藏夹

Article Energy & Fuels

Short-term wind speed forecasting by spectral analysis from long-term observations with missing values

Huseyin Akcay et al.

APPLIED ENERGY (2017)

添加到收藏夹

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

添加到收藏夹

Article Energy & Fuels

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

Hui Liu et al.

APPLIED ENERGY (2012)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.