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Classification and Clustering of Electricity Demand Patterns in Industrial Parks
Hernández, Luis; Baladrón, Carlos; Aguiar, Javier M.; … - In: Energies 5 (2012) 12, pp. 5215-5228
Understanding of energy consumption patterns is extremely important for optimization of resources and application of green trends. Traditionally, analyses were performed for large environments like regions and nations. However, with the advent of Smart Grids, the study of the behavior of smaller...
Persistent link: https://www.econbiz.de/10011030708
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Changing Energy Requirements in the Mediterranean Under Changing Climatic Conditions
Giannakopoulos, Christos; Hadjinicolaou, Panos; … - In: Energies 2 (2009) 4, pp. 805-815
This study investigates the impacts of climate change on energy requirements in the Mediterranean. Energy requirements, especially for space heating and cooling, are closely linked to several weather variables, mainly air temperature. The analysis is based on daily temperature outputs from...
Persistent link: https://www.econbiz.de/10011030939
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Reducing the Energy Demand of Multi-Dwelling Units in a Mediterranean Climate Using Solar Protection Elements
León, Ángel L.; Domínguez, Samuel; Campano, Miguel A.; … - In: Energies 5 (2012) 9, pp. 3398-3424
<strong> </strong>It is known that glazed openings are very important elements in the energetic behavior of buildings, especially in Mediterranean climates where there are many hours of solar radiation. The objective of this study was to determine the influence of solar protection on the energy demand of public...
Persistent link: https://www.econbiz.de/10011031206
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Towards Energy Demand Reduction in Social Housing Buildings: Envelope System Optimization Strategies
Domínguez, Samuel; Sendra, Juan J.; León, Angel L.; … - In: Energies 5 (2012) 7, pp. 2263-2287
This work evaluates the potential for the reduction of energy demand in residential buildings by acting on the exterior envelope, both in newly constructed buildings and in the retrofitting of existing stock. It focuses on analysing social housing buildings in Mediterranean areas and on...
Persistent link: https://www.econbiz.de/10011031378
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Multi-Period Optimization Model for Electricity Generation Planning Considering Plug-in Hybrid Electric Vehicle Penetration
Ahmadi, Lena; Elkamel, Ali; Abdul-Wahab, Sabah A.; Pan, … - In: Energies 8 (2015) 5, pp. 3978-4002
One of the main challenges for widespread penetration of plug-in hybrid electric vehicles (PHEVs) is their impact on the electricity grid. The energy sector must anticipate and prepare for this extra demand and implement long-term planning for electricity production. In this paper, the...
Persistent link: https://www.econbiz.de/10011274570
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A General Probabilistic Forecasting Framework for Offshore Wind Power Fluctuations
Trombe, Pierre-Julien; Pinson, Pierre; Madsen, Henrik - In: Energies 5 (2012) 3, pp. 621-657
Accurate wind power forecasts highly contribute to the integration of wind power into power systems. The focus of the present study is on large-scale offshore wind farms and the complexity of generating accurate probabilistic forecasts of wind power fluctuations at time-scales of a few minutes....
Persistent link: https://www.econbiz.de/10010668063
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Forecasting Monthly Electric Energy Consumption Using Feature Extraction
Meng, Ming; Niu, Dongxiao; Sun, Wei - In: Energies 4 (2011) 10, pp. 1495-1507
Monthly forecasting of electric energy consumption is important for planning the generation and distribution of power … waves were modeled separately by a grey model and radio basis function neural networks. Adding the forecasting values of … each model can yield the forecasting results for monthly electricity consumption. The grey model has a good capability for …
Persistent link: https://www.econbiz.de/10010668113
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Day-Ahead Electricity Price Forecasting Using a Hybrid Principal Component Analysis Network
Hong, Ying-Yi; Wu, Ching-Ping - In: Energies 5 (2012) 11, pp. 4711-4725
) network for forecasting LMPs in a day-ahead market. The PCA network extracts essential features from periodic information in … the market. These features serve as inputs to the MLF network for forecasting LMPs. The historical LMPs in the PJM market … are employed to test the proposed method. It is found that the proposed method is capable of forecasting day-ahead LMP …
Persistent link: https://www.econbiz.de/10010668182
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Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters
Wang, Fei; Mi, Zengqiang; Su, Shi; Zhao, Hongshan - In: Energies 5 (2012) 5, pp. 1355-1370
Short-term solar irradiance forecasting (STSIF) is of great significance for the optimal operation and power …
Persistent link: https://www.econbiz.de/10010676107
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A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control
Bracale, Antonio; Caramia, Pierluigi; Carpinelli, Guido; … - In: Energies 6 (2013) 2, pp. 733-747
A<b> </b>new short-term probabilistic forecasting method is proposed to predict the probability density function of the … effectiveness and advantages of the proposed forecasting method. …
Persistent link: https://www.econbiz.de/10011030942