A5053874716- Energy Load and Power Forecasting
- Grey System Theory Applications
- Impact of Light on Environment and Health
- Image and Signal Denoising Methods
- Stock Market Forecasting Methods
- E-Learning and Knowledge Management
- Urban Heat Island Mitigation
- Housing Market and Economics
- Digital Transformation in Industry
- Biomedical and Engineering Education
- Power System Reliability and Maintenance
- Neural Networks and Applications
- Problem and Project Based Learning
- Migration, Aging, and Tourism Studies
- Solar Radiation and Photovoltaics
- Circadian rhythm and melatonin
- Thermal Analysis in Power Transmission
- Technology Assessment and Management
- solar cell performance optimization
- Urban Planning and Valuation
- Market Dynamics and Volatility
- Atmospheric Ozone and Climate
- Photovoltaic System Optimization Techniques
- Power Quality and Harmonics
Universidad de Extremadura
2006-2025
Centro de Implantología Cirugía Oral y Maxilofacial
2006
Medium-term electric energy demand forecasting is an essential tool for power system planning and operation, mainly in those countries whose systems operate a deregulated environment. This paper proposes novel approach to monthly time series forecasting, which it split into two new series: the trend fluctuation around it. Then neural networks are trained forecast them separately. These predictions added up obtain overall forecasting. Several methods have been tested find out of provides best...
Nowadays, due to the considerable increase in energy demand, reduction of CO2 emissions, efficiency and lack knowledge population current electricity system, both at residential industrial levels, need implement measures that promote common benefit society has arisen. Photovoltaic been gaining importance as a sustainable alternative traditional sources, especially Spain, where it is one most advantageous options thanks its geographical location. In order help consumers household, SME or...
European Union Allowances (EUAs) are rights to emit CO2 that may be sold or bought by enterprises. They were originally created try reduce greenhouse gas emissions, although they have become assets used financial intermediaries seek for new business opportunities. Therefore, forecasting the time evolution of their price is very important agents involved in selling buying. Neural Networks, an artificial intelligence paradigm, been proved accurate and reliable tools series forecasting, widely...
Currently, there are concerns about the significant increase in level of night-time light pollution, which has become more dramatic recent years. This causes several environmental problems and makes it impossible to observe starry night sky, especially rural areas where observatories often located. Incorrect orientation arrangement lighting responsible for this pollution. study quantified interference parameters sky. The influence other factors may interfere with observation was also...
The implementation of sustainable practices, such as the use renewable sources and efficient technologies, is crucial for reducing climate change. Energy efficiency highly important on a global scale due to its relationship with change, aiming minimize environmental impact. In Spain, energy policies have increased self-sufficiency reduced fossil fuels. Optimizing consumption in residences, buildings, industries essential improving efficiency. This was taken into consideration conducting this...
A neural network was developed using the Multilayer Perceptron (MLP) model to predict darkness value of night sky in rural areas. For data collection, a photometer placed three different locations province Cáceres, Spain, recording values over period 23 months. The recorded were processed, debugged, and used as training set (75%) validation (25%) development an MLP capable predicting level for given date. had single hidden layer 10 neurons hyperbolic activation function, obtaining...
This study explores sustainable practices in energy resource management, with the aim of optimizing consumption while maintaining quality life. It focuses on efficiency residential sector autonomous community Extremadura. The methodology involved collecting data from 50 households, using a computer tool to assess and classify levels. results showed that homes built before 1994 had low ratings, whereas those afterward demonstrated improvement, reflecting growing environmental awareness. was...
"Insanity is doing the same thing over and again expecting different results". This phrase, attributed to Albert Einstein, contains a message that sums up what happening in education systems. Fortunately, an increasing number of "madmen" are choosing do something "innovate" teaching-learning process. paper shows influence innovating four key aspects learning: instruction, methodology, space time, if we want improve competence performance start make objectives Bologna Declaration reality,...
Several factors affect the visibility of night sky, most significantly artificial light at (ALAN), meteorological conditions and Moon illumination. There are few studies that analyse effect illumination, especially in rural areas (where ALAN level is lower). An analysis these variables could be relevant for sky observation, astronomical observatories, usually located with low ALAN. Knowledge observation allows correct planning observation. The observer can consult agencies forecasts...