Results 51 to 60 of about 1,206,124 (263)
Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source
An optimal energy management system for islanded Microgrids based on multi-period artificial bee colony combined with Markov Chain [PDF]
, 2017 The optimal operation programming of electrical systems through the minimization of the production cost and the market clearing price, as well as the better utilization of renewable energy resources, has attracted the attention of many researchers.
Azarinejadian, Fatemeh +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
Demand Response Technology Readiness Levels for Energy Management in Blocks of Buildings
Buildings, 2018 Fossil fuels deliver most of the flexibility in contemporary electricity systems. The pressing need to reduce CO2 emissions requires new methods to provide this flexibility.
Tracey Crosbie +4 more
doaj +1 more source
Artificial Intelligence Application in Demand Response: Advantages, Issues, Status, and Challenges
IEEE Access, 2023 In recent years, there has been a significant growth in demand response (DR) as a cost-effective technique of providing flexibility and, as a result, improving the dependability of energy systems. Although the tasks associated with demand side management
Amira Noor Farhanie Ali +4 more
doaj +1 more source
Short-Term Prediction of Energy Consumption in Demand Response for Blocks of Buildings: DR-BoB Approach [PDF]
Buildings, 2019 Load forecasting plays a major role in determining the prices of the energy supplied to end customers. An accurate prediction is vital for the energy companies, especially when it comes to the baseline calculations that are used to predict the energy load.
openaire +2 more sources
Learning Dynamical Demand Response Model in Real-Time Pricing Program
, 2018 Price responsiveness is a major feature of end use customers (EUCs) that participate in demand response (DR) programs, and has been conventionally modeled with static demand functions, which take the electricity price as the input and the aggregate ...
Mori, Kazuyuki +4 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Adult‐onset Still's disease (AOSD) complicated by macrophage activation syndrome (MAS) carries substantial mortality. The role of therapeutic plasma exchange (TPE) remains uncertain. Methods We retrospectively analyzed patients with AOSD‐MAS treated with TPE at a single‐center.
Masataka Ueda +15 more
wiley +1 more source
Results in EngineeringThe rapid advancement of smart grids, propelled by the integration of distributed energy resources (DERs) and renewable energy technologies, has exposed key challenges such as interoperability, standardization, and data security.
Arvind R. Singh +4 more
doaj +1 more source
Applied Sciences, 2020 As the electricity consumption and controllability of residential consumers are gradually increasing, demand response (DR) potentials of residential consumers are increasing among the demand side resources.
Zhaofang Song +5 more
doaj +1 more source