Results 41 to 50 of about 250,774 (317)

Stateflow-Based Energy Management Strategy for Hybrid Energy System to Mitigate Load Shedding

Applied Sciences, 2021
This study investigates the potential application of Stateflow (SF) to design an energy management strategy (EMS) for a renewable-based hybrid energy system (HES).
Muhammad Paend Bakht, Zainal Salam, Abdul Rauf Bhatti, Waqas Anjum, Saifulnizam A. Khalid, Nuzhat Khan   +5 more
doaj   +1 more source

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source

Optimization of Low-Carbon Technology Adoption Decision for Generation Enterprises Considering Cost Uncertainty

Zhongguo dianli
To investigate the investment decision optimization issue under the condition of uncertain cost of multiple types of low-carbon technologies faced by power generation enterprises to actively achieve the goal of "dual carbon", this paper takes the medium-
Qinliang TAN, Jiaming HE, Hanyu LV, Yihong DING   +3 more
doaj   +1 more source

Research on Energy Management Strategy of a Hybrid Commercial Vehicle Based on Deep Reinforcement Learning

World Electric Vehicle Journal, 2023
Given the influence of the randomness of driving conditions on the energy management strategy of vehicles, deep reinforcement learning considering driving conditions prediction was proposed.
Jianguo Xi, Jingwei Ma, Tianyou Wang, Jianping Gao   +3 more
doaj   +1 more source

Optimal Energy Management Strategy for Distributed Energy Resources

Energy Procedia, 2014
AbstractIn this paper, an optimal energy management model of a solar photovoltaic-diesel-battery hybrid power supply system is presented. The aim is to meet the load demand completely while satisfying the system constraints. The model proposed minimizes fuel and battery wear costs, and finds the optimal power flow taking into account photovoltaic power
Tazvinga, Henerica, Xia, Xiaohua, Zhu, Bing   +2 more
openaire   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Energy Efficient Building Management Strategies

, 2021
The intelligent management systems of the end consumers are endowed with advanced functions being one of them the interaction with external entities through the automatic participation in demand response programs. The development of the intelligent management systems is to reduce the energy consumption based on internal information and on the ...
Maria Rodriguez, Sofia Santos
openaire   +3 more sources

Multi-Energy-Microgrid Energy Management Strategy Optimisation Using Deep Learning

Energies
Renewable power generation is unpredictable due to its intermittency, making grid-connected microgrids difficult to operate, control, and manage. Currently used prediction models for electricity, heat, gas, and hydrogen multi-energy complementary ...
Wenyuan Sun, Shuailing Ma, Yufei Zhang, Yingai Jin, Firoz Alam   +4 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source