Results 121 to 130 of about 13,265,536 (249)

Energy‐Flow Regimes and Their Temporal Transitions in a PV‐Building System

Energy Science &Engineering, EarlyView.
Unlike production and consumption, which act as external factors, generated energy flows reflect the system's internal behavior regarding energy allocation at each time step. The combination of self‐consumption, surplus, and import of surplus energy into the power grid characterizes how electricity is routed between the building's local consumption and
Jacek Caban, Arkadiusz Małek, Iryna Boretska, Kazimierz Drozd   +3 more
wiley   +1 more source

Coordinated Optimization of Active and Reactive Power of Active Distribution Network Based on Safety Reinforcement Learning

Zhongguo dianli
A safe reinforcement learning method based on offline strategies is proposed. Through offline training of a large amount of historical operating data of the distribution network, it gets rid of the traditional optimization method.
Hao JIAO, Yanyan YIN, Chen WU, Jian LIU, Chunlei XU, Xian XU, Guoqiang SUN   +6 more
doaj   +1 more source

Temporal Robustness in Cross‐Country Gross Domestic Product Forecasting: Evidence From Classical, Regime‐Switching, and Ensemble Models

Journal of Forecasting, EarlyView.
ABSTRACT This study evaluates whether the relative performance of gross domestic product forecasting models is temporally robust across economies and changing macroeconomic conditions. Using annual real gross domestic product data from the World Bank for 177 separately reported economies and territories, we conduct a common‐vintage pseudo‐out‐of‐sample
Achilleas Tampouris, Chaido Dritsaki
wiley   +1 more source

Effectiveness of a Primary‐Care‐Centered Integrated Care Intervention for Stratified Cardiovascular Risk Control in China: Study Protocol for a Pragmatic Cluster Randomized Controlled Trial

Health Care Science, EarlyView.
This study developed a multifaceted intervention to strengthen primary care for cardiovascular risk management by leveraging both primary care and county hospitals in rural China. The purpose of this multicentre, cluster‐randomized controlled trial is to evaluate the effectiveness of intervention on the prevention of cardiovascular risks among patients
Weijia Lu, Xinxin Xia, Ziming Wang, Yaoyun Zhang, Yiting Lin, Wuxiang Xie, Jin Xu   +6 more
wiley   +1 more source

Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial

Health Economics, EarlyView.
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser, Mateus Maia, Judith E. Bosmans, Johanna Maria van Dongen   +3 more
wiley   +1 more source

Multi-robot hierarchical safe reinforcement learning autonomous decision-making strategy based on uniformly ultimate boundedness constraints

Scientific Reports
Deep reinforcement learning has exhibited exceptional capabilities in a variety of sequential decision-making problems, providing a standardized learning paradigm for the development of intelligent multi-robot systems.
Huihui Sun, Hui Jiang, Long Zhang, Changlin Wu, Sen Qian   +4 more
doaj   +1 more source

Framing the Canadian Health Technology Assessment as an Organisational Process: A Bibliometric Analysis

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT Health Technology Assessment (HTA) is an organizational process used to determine the value of health‐technologies. There is considerable variation in how HTA is developed globally, with Canada at the forefront of this field, having pioneered the use of HTA and implemented it extensively across healthcare organisations at all levels.
Salvatore Tallarico, Simone Lazzini, Luisa Pellegrini, Harindra C. Wijeysundera   +3 more
wiley   +1 more source

Modelling the purchase dynamics of insurance customers using Markov chains

, 2005
This paper considers how various types of Markov chains can be used to help forecast the purchase behaviour of customers. The models are used in a case study of the purchase behaviour of the customers of a major insurance company.
Thomas, Lyn C., Thomas, Stephen, Bozzetto, Jean-Francois, Tang, Leilei   +3 more
core   +1 more source

Estimation of Subtype‐Specific Tumour Growth Rate Distributions and Interval Cancer Proportions in Breast Cancer Using Biology‐Inspired Natural History Models

International Journal of Cancer, EarlyView.
ABSTRACT Breast cancer progression varies across molecular subtypes, influencing detection rates and prognosis. Differences in the proportion of interval cancers (PIC)—cancers detected symptomatically between scheduled screening rounds—have been observed across subtypes, likely reflecting heterogeneity in tumour growth dynamics. We applied a continuous‐
Letizia Orsini, Yuqi Zhang, Kamila Czene, Keith Humphreys   +3 more
wiley   +1 more source

How Is FinTech Shaping Household Portfolio Behaviour?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper examines how FinTech adoption influences household portfolio allocation across major advanced economies. Using a flow‐of‐funds framework and the Almost Ideal Demand System (AIDS), we model household demand for currency, deposits, loans, debt securities, and equity in the United States, United Kingdom, Euro Area, Japan and Australia.
Victor Murinde, Athina Petropoulou
wiley   +1 more source