Results 181 to 190 of about 237,763 (336)

Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm

open access: yesEnergy Science &Engineering, EarlyView.
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]

open access: yesSci Rep
Zubaer AA   +4 more
europepmc   +1 more source

The influence of remittances on macroeconomical figures in Ukraine [PDF]

open access: gold, 2019
Oleksandr Chernyak   +2 more
openalex   +1 more source

Making Sense of the Subprime Crisis [PDF]

open access: yes
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

open access: yesJournal of Forecasting, EarlyView.
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]

open access: yesProc Natl Acad Sci U S A
Zarate P   +5 more
europepmc   +1 more source

Clothes for the Emperor or Can Graduate Schools Learn From Undergraduate Macroeconomics? [PDF]

open access: yes
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

open access: yesJournal of Forecasting, EarlyView.
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

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