Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm
This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley +1 more source
GPT-4 shows comparable performance to human examiners in ranking open-text answers. [PDF]
Zubaer AA +4 more
europepmc +1 more source
The influence of remittances on macroeconomical figures in Ukraine [PDF]
Oleksandr Chernyak +2 more
openalex +1 more source
Making Sense of the Subprime Crisis [PDF]
macroeconomics, subprime crisis, foreclosures, market, risk ...
Andreas Lehnert +3 more
core
UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley +1 more source
Why working from home varies across countries and people. [PDF]
Zarate P +5 more
europepmc +1 more source
Impact of Macroeconomic Dynamics on Maritime Transport Development: A Quantitative Analysis
Agus Aji Samekto
openalex +2 more sources
Clothes for the Emperor or Can Graduate Schools Learn From Undergraduate Macroeconomics? [PDF]
The current crisis is not only one of financial markets, but also of macroeconomics. Leading scholars call for a paradigm shift away from dynamic general equilibrium models, though some argue that the profession's arsenal already contains the tools and ...
Florian Jung, Manfred Gärtner
core
When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley +1 more source
Comparing Sociodemographic, Health Status and Resources, Macroeconomic Status, and Environmental Factors on Infant Mortality Rates in Bahrain, Kuwait, and Oman: Longitudinal Time-Series Study. [PDF]
Al-Saqry MY +3 more
europepmc +1 more source

