Article
Green & Sustainable Science & Technology
Yang Cui, Yingjie He, Xiong Xiong, Zhenghong Chen, Fen Li, Taotao Xu, Fanghong Zhang
Summary: With the rapid increase in wind power capacity, ramp events have become a main factor affecting the safety and stability of electric power systems. This paper proposes an improved dynamic swinging door algorithm (ImDSDA) for accurate and efficient detection of wind power ramp events, offering a feasible option for power systems.
Article
Mathematics, Applied
Jean-Paul Chehab, Vivien Desveaux, Marouan Handa
Summary: This study focuses on optimization problems in energy distribution systems with storage, considering a simplified network topology around four nodes: the load aggregator, the external grid, the consumption, and the storage. By solving two optimization problems, mathematical models are established and a new method based on a sliding window algorithm is proposed to reduce computational time and enable real-time simulations.
Article
Physics, Multidisciplinary
E. C. O. Santos, E. F. Guedes, G. F. Zebende, A. M. da Silva Filho
Summary: This article analyzes the daily fluctuations of wind speed in municipalities in the State of Bahia, Brazil using the sliding windows approach. The Detrended Fluctuation Analysis method is employed to identify and measure autocorrelation in non-stationary time series. The results show persistent and statistically significant behavior in the wind speed of the studied cities.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Automation & Control Systems
J. Jayalakshmi, M. Mary Linda
Summary: WPRE is one of the most critical factors affecting the security of the electrical system. Accurate detection of ramp events can help manage extreme events and reduce financial damage. This study presents an improved method for recognizing wind power ramps in Kanyakumari district, which can effectively identify ramps of varying lengths and assess the performance of an energy wind farm.
Article
Computer Science, Artificial Intelligence
Hu Peng, Jiayao Qian, Fanrong Kong, Debin Fan, Peng Shao, Zhijian Wu
Summary: This paper proposes an enhancing firefly algorithm with sliding window (SWFA) to improve the original firefly algorithm (FA). SWFA incorporates the sliding window mechanism, reverse learning, and an adaptive step adjustment strategy to enhance the algorithm's performance.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Yanhao Wang, Francesco Fabbri, Michael Mathioudakis, Jia Li
Summary: This paper studies diversity maximization with fairness constraints in streaming and sliding-window models. By designing efficient approximation algorithms, the problem of fair max-min diversity maximization in data streams and sliding-window models is addressed. Experimental results show that our algorithms can run several orders of magnitude faster than existing offline algorithms in streaming and sliding-window settings, while providing comparable solution quality.
Article
Physics, Multidisciplinary
Lei Zhou, Bolun Chen, Hu Liu, Liuyang Wang
Summary: In this paper, a personalized sliding window is designed for different users by combining timing information and network topology information. The information sequence of each user in the sliding window is extracted and user similarity is obtained through sequence alignment. The results show that our method outperforms traditional algorithms in recommendation accuracy, popularity, and diversity.
Article
Thermodynamics
Yang Cui, Zhenghong Chen, Yingjie He, Xiong Xiong, Fen Li
Summary: This study proposes an improved hybrid model that utilizes long short-term memory and wind power ramp event prediction to forecast day-ahead wind power fluctuations. The model outperforms existing methods and provides guidance for the safe dispatching and economic operation of power systems.
Article
Engineering, Electrical & Electronic
Yuanchun Zhao, Wenli Zhu, Ming Yang, Mengxia Wang
Summary: This paper proposes an imprecise conditional probability estimation method based on the Bayesian network theory for predicting wind power ramp events. The method constructs a BN using MWST and GS, and estimates parameters using an extended IDM to quantify the probability of random ramp events. Experimental results demonstrate the effectiveness of the proposed method in reliably predicting ramp events even with limited samples.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Yaoyao He, Chuang Zhu, Xueli An
Summary: In this paper, a ramp detection framework based on the swinging door algorithm and the mergence of correct ramps is proposed, and a trend-based prediction method is also proposed for offshore wind power ramps prediction. The proposed method performs well in evaluation indicators and provides early warning for power system operators to reduce the harm of wind power ramps.
Article
Energy & Fuels
Danielle Lyners, Hendrik Vermeulen, Matthew Groch
Summary: The variable nature of wind power poses challenges to grid operators, which can be mitigated through optimal scheduling and dispatch of flexible reserves and rapid response ancillary services. This paper proposes a novel multi-parameter segmentation algorithm for the detection of wind power ramps.
Article
Engineering, Electrical & Electronic
Bin Zhou, Haoran Duan, Qiuwei Wu, Huaizhi Wang, Siu Wing Or, Ka Wing Chan, Yunfan Meng
Summary: This paper introduces a hybrid forecasting model based on semi-supervised generative adversarial network for short-term wind power and ramp event prediction. By decomposing wind energy data time series and employing semi-supervised regression, non-linear and dynamic behaviors are extracted to enhance forecasting accuracy, along with a self-tuning forecasting strategy for improved performance.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Thermodynamics
Jianming Hu, Liping Zhang, Jingwei Tang, Zhi Liu
Summary: This paper proposes a novel ramp event forecasting approach called IFORNLD, which effectively detects and accurately predicts wind power ramp events, outperforming some benchmark models.
Article
Computer Science, Information Systems
Xuemin Zhao
Summary: With the rapid development and popularization of the Internet, the dependency of human life on the Internet is increasing. This paper discusses encryption technology based on network security research and proposes a new point multiplication algorithm. It also presents an analysis of the security of the DES algorithm and proposes an encryption method based on DES.
Article
Engineering, Environmental
Chengxiu Wang, Mengjie Luo, Xin Su, Xingying Lan, Zeneng Sun, Jinsen Gao, Mao Ye, Jesse Zhu
Summary: This study proposes a new signal processing method to identify particle clusters in CFB risers using a sliding window and a non-linear threshold curve. By considering the fluctuation of the gas-solids flow, a more realistic characterization of the clusters in HDCFB and LDCFB is obtained.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Bri-Mathias Hodge, Carlo Brancucci Martinez-Anido, Qin Wang, Erol Chartan, Anthony Florita, Juha Kiviluoma
Article
Energy & Fuels
Jianhua Zhang, Adarsh Hasandka, Jin Wei, S. M. Shafiul Alam, Tarek Elgindy, Anthony R. Florita, Bri-Mathias Hodge
Article
Engineering, Electrical & Electronic
Mingjian Cui, Jianhui Wang, Jin Tan, Anthony R. Florita, Yingchen Zhang
IEEE TRANSACTIONS ON POWER SYSTEMS
(2019)
Article
Energy & Fuels
Wenqi Zhang, William Kleiber, Anthony R. Florita, Bri-Mathias Hodge, Barry Mather
Article
Energy & Fuels
Wenqi Zhang, William Kleiber, Anthony R. Florita, Bri-Mathias Hodge, Barry Mather
IEEE JOURNAL OF PHOTOVOLTAICS
(2019)
Article
Energy & Fuels
Kate Doubleday, Faeza Hafiz, Andrew Parker, Tarek Elgindy, Anthony Florita, Gregor Henze, Graziano Salvalai, Shand Pless, Bri-Mathias Hodge
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2019)
Review
Construction & Building Technology
Homagni Saha, Anthony R. Florita, Gregor P. Henze, Soumik Sarkar
ENERGY AND BUILDINGS
(2019)
Article
Energy & Fuels
Robert Cruickshank, Gregor Henze, Rajagopalan Balaji, Bri-Mathias Hodge, Anthony Florita
Article
Engineering, Electrical & Electronic
Mingjian Cui, Jianhui Wang, Anthony R. Florita, Yingchen Zhang
IEEE TRANSACTIONS ON POWER SYSTEMS
(2019)
Article
Green & Sustainable Science & Technology
Marija Markovic, Amirhossein Sajadi, Anthony Florita, Robert Cruickshank III, Bri-Mathias Hodge
Summary: The study utilizes sensors from CATV networks for low-voltage estimation to enhance observability of distributed energy resources in distribution grids. By considering spatial-temporal observation factors, the method is able to estimate single-phase voltage magnitudes at non-monitored low-voltage buses, demonstrating highly accurate voltage estimation results on simulated data.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Construction & Building Technology
Robert Cruickshank, Gregor Henze, Anthony Florita, Charles Corbin, Killian Stone
Summary: This study examines the impact of joint optimization of electric power generation and flexible end uses on production costs and CO2 emissions to support increasing penetrations of renewable energy. Results indicate that a transaction-less yet continuous demand response system can reduce production costs and CO2 emissions by encouraging Internet-connected devices to autonomously explore options to favor lowest cost generators.
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(2022)
Review
Green & Sustainable Science & Technology
Burcin Cakir Erdener, Cong Feng, Kate Doubleday, Anthony Florita, Bri-Mathias Hodge
Summary: Solar photovoltaic systems integrated within the distribution grid face challenges in efficient network and market operations due to variability and uncertainty. Accurate forecasting methods play a key role in balancing supply and demand.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Telecommunications
Margarite Jacoby, Sin Yong Tan, Mohamad Katanbaf, Ali Saffari, Homagni Saha, Zerina Kapetanovic, Jasmine Garland, Anthony Florita, Gregor Henze, Soumik Sarkar, Joshua Smith
Summary: The HVAC systems with automatic building controls provide efficient and comfortable indoor environments, but often lead to unnecessary energy consumption. To address this issue, the energy and power demand triggered by human presence need to be considered in order to achieve clean and stable electric grid integration.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2021)
Proceedings Paper
Automation & Control Systems
Adarsh Hasandka, Jianhua Zhang, S. M. Shafiul Alam, Anthony R. Florita, Bri-Mathias Hodge
2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CONTROL, AND COMPUTING TECHNOLOGIES FOR SMART GRIDS (SMARTGRIDCOMM)
(2018)
