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
Empirical analysis of the correlation between China's Macroeconomic Market and Crude Oil Market based on mixed-frequency group factor model. [PDF]
Zhao J, Yin J.
europepmc +1 more source
A Preliminary Inquiry into the Micro-level Gender Effects of Macroeconomic Adjustment Policies [PDF]
Serving as a preliminary to the inquiry on micro-level effects macroeconomic policies on gender, this paper presents the framework and the theoretical points of the succeeding studies on the subject. Its focus and methodology are also put in place. These
Illo, Jeanne Frances I.
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
Economic Welfare, Food Prices, and Sectoral Food Waste: A Structural Analysis Across the European Union. [PDF]
Vărzaru AA.
europepmc +1 more source
Foreign News and Spillovers in Emerging European Stock Markets [PDF]
We analyze foreign news and spillovers in the emerging EU stock markets (the Czech Republic, Hungary, and Poland). We employ high-frequency five-minute intraday data on stock market index returns and four classes of EU and U.S.
Evzen Kocenda, Jan Hanousek
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
The global economic burden of cirrhosis and other chronic liver diseases: A health-augmented macroeconomic modeling study. [PDF]
Zhang R +5 more
europepmc +1 more source
CENTRAL BANK INDEPENDENCE AND MACROECONOMIC PERFORMANCES - AN EMPIRICAL APPROACH [PDF]
The empirical evidence upon the macroeconomic performances of the independent central banks do not always have been successfully. In some cases, the consistency of the indices based on the interpretation of central banks statues used for measuring the ...
Coroiu Sorina, Dumiter Florin Cornel
core
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source

