Results 41 to 50 of about 8,068,929 (298)

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems
The reliable and efficient operation of power systems hinges on accurate electrical load forecasts over various horizons and objectives, ranging from long‐term grid adequacy estimation to day‐ahead system scheduling and real‐time dispatching.
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Federated Learning for Short-Term Residential Load Forecasting

IEEE Open Access Journal of Power and Energy, 2022
Load forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart meters will prove a vital component to facilitate these forecasting tasks.
Christopher Briggs, Zhong Fan, Peter Andras   +2 more
openaire   +3 more sources

Short-term Spatiotemporal Load Forecasting for Norwegian Bidding Zones [PDF]

, 2021
Short-term load forecasting is vital for electric utility companies. The objective of this thesis is the short-term load forecasting of the five bidding zones in the Norwegian electrical grid.
Følid, Atle
core  

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

Short-term load forecasting using Theta method [PDF]

E3S Web of Conferences, 2019
The Theta method attracted the attention of researchers and practitioners in recent years due to its simplicity and superior forecasting accuracy. Its performance has been confirmed by many empirical studies as well as forecasting competitions.
Dudek Grzegorz
doaj   +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

Short- and Very Short-Term Firm-Level Load Forecasting for Warehouses: A Comparison of Machine Learning and Deep Learning Models

Energies, 2022
Commercial buildings are a significant consumer of energy worldwide. Logistics facilities, and specifically warehouses, are a common building type which remain under-researched in the demand-side energy forecasting literature.
Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Patricia Takako Endo, Pierangelo Rosati, Theo Lynn   +4 more
doaj   +1 more source

Research in residential electricity characteristics and short-term load forecasting [PDF]

, 2013
In this paper we make research in Residential short-term load forecasting. Different application scenes have different affecting factors of short-term load, so we should specifically analysis of factors that affect the load of the residential electricity.
Wang, Zhongfeng, Wang YN(王英男), Wang ZF(王忠锋), Feng, Haixia, Ge WC(葛维春), Ge, Weichun, Feng HX(冯海霞), Wang, Yingnan   +7 more
core  

A study of advanced learning algorithms for short-term load forecasting

, 1999
Neural networks are currently finding practical applications, ranging from ‘soft’ regulatory control in consumer products, to the accurate modelling of nonlinear systems.
Anagnostakis, E.M., Kodogiannis, V.
core   +1 more source