Applied medium term weather dependent electric load forecast using ANN and other techniques "case study of Jeddah area"

Author(s):  
K. Solaiman ◽  
M.M. Elkateb ◽  
Y. Al-Turki
Forecasting ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 91-101
Author(s):  
Alfredo Nespoli ◽  
Emanuele Ogliari ◽  
Silvia Pretto ◽  
Michele Gavazzeni ◽  
Sonia Vigani ◽  
...  

Accurate forecast of aggregate end-users electric load profiles is becoming a hot topic in research for those main issues addressed in many fields such as the electricity services market. Hence, load forecast is an extremely important task which should be understood more in depth. In this research paper, the dependency of the day-ahead load forecast accuracy on the basis of the data typology employed in the training of LSTM has been inspected. A real case study of an Italian industrial load with samples recorded every 15 min for the year 2017 and 2018 was studied. The effect in the load forecast accuracy of different dataset cleaning approaches was investigated. In addition, the Generalised Extreme Studentized Deviate hypothesis testing was introduced to identify the outliers present in the dataset. The populations were constructed on the basis of an autocorrelation analysis that allowed for identifying a weekly correlation of the samples. The accuracy of the prediction obtained from different input dataset has been therefore investigated by calculating the most commonly used error metrics, showing the importance of data processing before employing them for load forecast.


2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Cui Herui ◽  
Peng Xu ◽  
Mu Yupei

Electric load in summer has a significant cyclical trend with temperature effects. In general, the parameters of the SARIMA and the SMA turn out to be nonsignificant in most cases. To address this issue, the hybrid time series model is utilized to extract the spectrum sequences with different frequencies. The original electric load series are first decomposed into the trend sequence “G” and the cycle sequence “C.” After that, a revised ARMAX model is proposed to deal with the two divided sequences. Finally, the combined models are tested by case study. The case study on electric load forecast in one city from China shows that the proposed model outperforms other four comparative models in terms of prediction accuracy. It proves that the combined model proposed by the authors is more accurate than those based on a single forecasting method.


2019 ◽  
Vol 3 (2) ◽  
pp. 47-54
Author(s):  
Ali Shams Derakhshan ◽  
Mahdi Adjami ◽  
Seyed Ahmad Neshaei ◽  
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Keyword(s):  

2009 ◽  
Vol 59 (12) ◽  
pp. 2485-2494 ◽  
Author(s):  
K. V. Heal ◽  
R. Bray ◽  
S. A. J. Willingale ◽  
M. Briers ◽  
F. Napier ◽  
...  

One of the main barriers to implementing SUDS is concern about performance and maintenance costs since there are few well-documented case-studies. This paper summarizes studies conducted between 2000 and 2008 of the performance and maintenance of four SUDS management trains constructed in 1999 at the Hopwood Park Motorway Service Area, central England. Assessments were made of the wildlife value and sedimentation in the SUDS ponds, the hydraulic performance of the coach park management train, water quality in all management trains, and soil/sediment composition in the grass filter strip, interceptor and ponds. Maintenance procedures and costs were also reviewed. Results demonstrate the benefits of a management train approach over individual SUDS units for flow attenuation, water treatment, spillage containment and maintenance. Peak flows, pond sediment depth and contaminant concentrations in sediment and water decreased through the coach park management train. Of the 2007 annual landscape budget of £15,000 for the whole site, the maintenance costs for SUDS only accounted for £2,500 compared to £4,000 for conventional drainage structures. Furthermore, since sediment has been attenuated in the management trains, the cost of sediment removal after the recommended period of three years was only £554 and, if the design is not compromised, less frequent removal will be required in future.


2001 ◽  
Vol 7 (3) ◽  
pp. 45 ◽  
Author(s):  
Malcolm W. Battersby ◽  
Alex Ask ◽  
Marion M. Reece ◽  
Mignon J. Markwick ◽  
James P. Collins

The problems and goals approach (P&G) is a therapeutic assessment and intervention used in the behavioural psychotherapy field. P&G is a patient-centred, pragmatic technique in which the patient and health professional determine the patient?s problems and formulate realistic medium term goals based on measurable outcomes. P&G was utilised in the SA HealthPlus first round Coordinated Care Trial in South Australia with intervention patients who had chronic medical conditions. This article presents a case study from SA HealthPlus. The aim of this article is to introduce the practical workings of P&G and provide some observations about this technique.


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