Results 21 to 30 of about 2,387,314 (300)

Unit Commitment Accommodating Large Scale Green Power

Applied Sciences, 2019
As more clean energy sources contribute to the electrical grid, the stress on generation scheduling for peak-shaving increases. This is a concern in several provinces of China that have many nuclear power plants, such as Guangdong and Fujian.
Yuntao Ju, Jiankai Wang, Fuchao Ge, Yi Lin, Mingyu Dong, Dezhi Li, Kun Shi, Haibo Zhang   +7 more
doaj   +1 more source

Foresighted Demand Side Management [PDF]

, 2014
We consider a smart grid with an independent system operator (ISO), and distributed aggregators who have energy storage and purchase energy from the ISO to serve its customers.
van der Schaar, Mihaela, Xiao, Yuanzhang
core  

Rapid Response to Trametinib Combined With Chemotherapy for Infant BRAF‐Fused Chiasmatic Glioma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Infants, less than 1 year, with chiasmatic gliomas (ICG) present a major therapeutic challenge due to large tumor size, decreased vision, rapid progression, and poor response to vincristine/carboplatin chemotherapy. The majority have a BRAF fusion, which may respond to downstream MEK inhibitors but response time is slow. There are no safety or
Helen Toledano, Alexander Yelak, Walid Kaadan, Shlomo Caduri, Rivka Friedland, Orli Michaeli, Gad Dotan, Osnat Konen   +7 more
wiley   +1 more source

Cognitive Functioning in Vorinostat‐Treated Pediatric and Young Adult Patients Over the First 180 Days After Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba, Michelle Rozwadowski, Thomas Braun, April Rahrig, Edward Peres, Kirsten M. Williams, Vanessa Fabrizio, Julie‐An Talano, Carrie L. Kitko, Nicolas Parnell, Pavan Reddy, Sung Won Choi   +11 more
wiley   +1 more source

Optimizing Load Dispatch in Iron and Steel Enterprises Aligns with Solar Power Generation and Achieves Low-Carbon Goals

Energies
This study develops an optimization-based scheduling framework for coordinating the energy-intensive operations of a steel enterprise with estimated solar power availability.
Samrawit Bzayene Fesseha, Bin Li, Bing Qi, Songsong Chen, Feixiang Gong   +4 more
doaj   +1 more source

Incidence and Risk Factors of Serious Osteonecrosis in Pediatric Acute Lymphoblastic Leukemia: A CYP‐C Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteonecrosis (ON) is a debilitating complication of acute lymphoblastic leukemia (ALL) therapy. While numerous studies have explored its incidence and associated risk factors, investigations using large‐scale cohorts remain important to characterize ON across heterogeneous populations.
Noémie de Villiers, Chantal Éthier, Caroline Laverdière, Nathalie Alos, Thai Hoa Tran, Marie‐Claude Pelland‐Marcotte   +5 more
wiley   +1 more source

Real-Time Solar Power Generation Scheduling for Maintenance and Suboptimally Performing Equipment Using Demand Response Unified with Model Predictive Control

Energies
This paper proposes a novel approach that unifies a demand response (DR) with a master plan of the model predictive control method focusing on scheduling maintenance and replacement for suboptimal equipment in real-time solar power plants.
Bin Li, Samrawit Bzayene Fesseha, Songsong Chen, Ying Zhou   +3 more
doaj   +1 more source

Novel Genetic Risk Factor Identified for L‐Asparaginase‐Induced Pancreatitis in Pediatric Patients With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack, Wan‐Chun Chang, Miguel Cordova‐Delgado, Spencer J. Anderson, Jessica N. Trueman, Erika N. Scott, Catrina M. Loucks, Shahrad R. Rassekh, Gabriella S. S. Groeneweg, Michelle Higginson, Kathy Li, Fudan Miao, Derek Yau, Donna Johnston, Mounira Ibrahim, Maja Krajinovic, Thai Hoa Tran, Jessica Tewfik, Jean‐François Bussières, Thaïna‐Rafi Jean‐Baptiste, Denis Lebel, Lucie Pecheux, Bina Gyawali, Gregory Guilcher, Gesche Riabowol, Geert ’t Jong, Michelle Staub, Geoff Cuvelier, Kathleen Felton, Sara Khalaj, Michael Rieder, Awatif Abuzgaia, Tamorah Lewis, Himal Ghimire, Paul Nathan, Kerry Goralski, Ketan Kulkarni, Zara Forbrigger, Colin J. D. Ross, Bruce C. Carleton   +39 more
wiley   +1 more source

Nowcasting the next hour of residential load using boosting ensemble machines

Scientific Reports
Accurate residential load forecasting is a key to achieve grid stability and efficient energy management. However, it becomes challenging due to the non-linear and seasonally fluctuating energy usage of domestic users.
Ali Muqtadir, Bin Li, Zhou Ying, Chen Songsong, Sadia Nishat Kazmi   +4 more
doaj   +1 more source

DualDRNet: A Unified Deep Learning Framework for Customer Baseline Load Estimation and Demand Response Potential Forecasting for Load Aggregators

IEEE Access
Accurately valuing demand-side flexibility hinges on two tightly coupled tasks: reconstructing the customer baseline load (CBL) that would have occurred in the absence of demand-response (DR) events and, from that baseline, forecasting the flexibility of
Ali Muqtadir, Bin Li, Bing Qi, Songsong Chen, Kun Shi   +4 more
doaj   +1 more source