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Óscar Trull, J. Carlos García-Díaz and Alicia Troncoso
Electricity management and production depend heavily on demand forecasts made. Any mismatch between the energy demanded with respect to that produced supposes enormous losses for the consumer. Transmission System Operators use time series-based tools to ...
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Yuebing Xu, Jing Zhang, Zuqiang Long, Hongzhong Tang and Xiaogang Zhang
Effective and accurate water demand prediction is an important part of the optimal scheduling of a city water supply system. A novel deep architecture model called the continuous deep belief echo state network (CDBESN) is proposed in this study for the p...
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Panagiotis Kossieris and Christos Makropoulos
Residential water demand consists one of the most uncertain factors posing extra difficulties in the efficient planning and management of urban water systems. Currently, high resolution data from smart meters provide the means for a better understanding ...
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Paola Caputo, Costa Gaia and Valentina Zanotto
Electricity consumption in Europe is constantly increasing, despite the fact that in recent years, huge efforts in terms of programs and regulations have been made towards energy demand reduction and energy systems improvement. Since the electricity dema...
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Muhammad Waseem, Zhenzhi Lin and Li Yang
Air Conditioners (AC) impact in overall electricity consumption in buildings is very high. Therefore, controlling ACs power consumption is a significant factor for demand response. With the advancement in the area of demand side management techniques imp...
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Kyung-bin Kwon, Hyeongon Park, Jae-Kun Lyu and Jong-Keun Park
The use of appropriate hourly reserve margins can maintain power system security by balancing supply and demand in the presence of errors in the forecast demand, generation outages, or errors in the forecast of wind power generation. Because the cost of ...
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Lukas Preis and Mirko Hornung
Urban Air Mobility is a novel concept of transportation with unknown market potential. Even in conservative estimates, thousands of operations could be expected on a single vertiport. This exceeds known heliport operations, which is the most comparable e...
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Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
Electrical load forecasting study is required in electric power systems for different applications with respect to the specific time horizon, such as optimal operations, grid stability, Demand Side Management (DSM) and long-term strategic planning. In th...
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Maria Chiara D'errico
This study run experiment aiming to provide a ??exible and analytically elegant framework to reliably estimate the price elasticity of electricity demand. Inference pertains to the demand at hourly level in the Italian wholesale electricity market and us...
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Benjamin Manrique Delgado, Reino Ruusu, Ala Hasan, Simo Kilpeläinen, Sunliang Cao and Kai Sirén
A focal point of ongoing research is matching the energy demand in the built environment to the energy supply from onsite generation, to maximize the self-consumption, and from the energy grids, to lower energy costs and reduce peak loads on the system. ...
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Sina Shabani, Antonio Candelieri, Francesco Archetti and Gholamreza Naser
This article proposes a new general approach in short-term water demand forecasting based on a two-stage learning process that couples time-series clustering with gene expression programming (GEP). The approach was tested on the real life water demand da...
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Sina Shabani, Antonio Candelieri, Francesco Archetti and Gholamreza Naser
This article proposes a new general approach in short-term water demand forecasting based on a two-stage learning process that couples time-series clustering with gene expression programming (GEP). The approach was tested on the real life water demand da...
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Elena Pacchin, Stefano Alvisi, Marco Franchini
Pág. 1 - 15
In this article, a model for forecasting water demands over a 24-h time window using solely a pair of coefficients whose value is updated at every forecasting step is presented. The first coefficient expresses the ratio between the average water demand o...
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Antonio Candelieri
Pág. 1 - 19
This paper presents a completely data-driven and machine-learning-based approach, in two stages, to first characterize and then forecast hourly water demand in the short term with applications of two different data sources: urban water demand (SCADA data...
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Antonio Candelieri
This paper presents a completely data-driven and machine-learning-based approach, in two stages, to first characterize and then forecast hourly water demand in the short term with applications of two different data sources: urban water demand (SCADA data...
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Elena Pacchin, Stefano Alvisi and Marco Franchini
In this article, a model for forecasting water demands over a 24-h time window using solely a pair of coefficients whose value is updated at every forecasting step is presented. The first coefficient expresses the ratio between the average water demand o...
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Aleksandra Marcikic, Radovan Pejanovic, Otilija Sedlak, Boris Radovanov, Zoran Ciric
Pág. 55 - 66
In order to provide the best possible healthcare, managers need effective methods for decision making, as well as effective methods for management and improvement of a healthcare organization. Analysis of the demand is one of the key issues in healthcare...
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Milo? Bo?ic, Milo? Stojanovic, Zoran Stajic and Dragan Tasic
In the deregulated energy market, the accuracy of load forecasting has a significant effect on the planning and operational decision making of utility companies. Electric load is a random non-stationary process influenced by a number of factors which mak...
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Georgios Chantzis, Effrosyni Giama and Agis M. Papadopoulos
The EU energy and climate policy has set quantitative goals for decarbonization based on the energy efficiency and the evolution of energy systems. The utilization of demand side flexibility can help towards this direction and achieve the target of highe...
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Martin Oberascher, Lukas Schartner and Robert Sitzenfrei
The potential of water supply systems for renewable electrical energy production is frequently utilised by a small-scale hydropower unit (SHPU) that utilises the surplus water or pressure. However, fluctuating demand on an hourly and daily basis represen...
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