Results 31 to 40 of about 5,303,939 (309)

Short-term Photovoltaic Power Forecasting Based on Improved Dung Beetle Optimizer for Optimizing VMD-BiLSTM [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
In order to improve the accuracy of short-term photovoltaic power forecasting, a model integrating an im proved dung beetle optimizer, variational mode decomposition (VMD), and bidirectional long short-term memory (BiLSTM) was proposed. Firstly, a VMD-
JIANG Jiandong, CHANG Yizhe, XU Chang, GUO Jiaqi, ZHANG Yichi   +4 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

A probabilistic wind power forecasting model considering power error correlation

Zhejiang dianli
New energy sources， such as wind power， are characterized by volatility and intermittency， leading to significant uncertainty in wind power output and errors in power forecasting. To accurately capture the differentiated distribution of power forecasting
CHEN Wenjin, WANG Xiaozhong, ZHANG Si, GAN Wen, SHEN Chengliang, GU Weikang, QIU Jian   +6 more
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

An Effective and Efficient Renewable Energy Generation Forecasting via Meteorological Assistance

Journal of Applied Science and Engineering
Accurate signal pattern mining of renewable energy generation forecasting (REGF) is important to the daysahead power scheduling of renewable energy power systems. Despite achieving excellent performance with current methods, two issues still persist. (1)
Zengyao Tian, Li Lv, Wenchen Deng, Zhikui Chen   +3 more
doaj   +1 more source

Wind forecasting using Principal Component Analysis [PDF]

, 2014
We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on past data to predict the wind speed using an ensemble of dynamically similar past events.
Fruh, Wolf-Gerrit; id_orcid, C. Skittides, Skittides, Christina, W.-G. Früh   +3 more
core   +1 more source

Bone Mineral Density After Contemporary Treatment for Acute Lymphoblastic Leukaemia: A Matched Cross‐Sectional Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen, Mette Tiedemann Skipper, Niels Holtum Birkebæk, Kjeld Schmiegelow, Thomas Leth Frandsen, Bente Langdahl, Rikke Beck Jensen, Asger Roer Pedersen, Christian Mølgaard, Liv Andrés‐Jensen, Birgitte Klug Albertsen   +10 more
wiley   +1 more source

A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling

Journal of Geophysical Research: Machine Learning and Computation
High‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for wind downscaling is an effective approach to achieve this goal. However, the lack of physical process understanding in
Anboyu Guo, Qiyang Liu, Jiuke Wang, Yuanyong Gao, Lixin Wei, Xiaojiang Song, Chi Zhang, Kai Liu, Shuping Ma, Jiu Jiang   +9 more
doaj   +1 more source

Enhancing Power Generation Forecasting in Smart Grids Using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model

IEEE Access, 2023
This study explores the implementation of advanced machine learning techniques to enhance the integration of renewable energy into smart grids, focusing specifically on predicting solar power generation for the upcoming year.
Ahsan Zafar, Yanbo Che, Muneer Ahmed, Muhammad Sarfraz, Ashfaq Ahmad, Mohammad Alibakhshikenari   +5 more
doaj   +1 more source