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Combined forecast
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Ebook "Japan houses - Ideas for 21st century living" Japanese architecture and design book is a wonderful source of new styles and ideas for those looking to add a distinctively Zen flair to their home. Limited spaces, unlimited technology, a tradition of innovation, and sheer Japanese panache have combined to inspire the 26 stunning homes featured in Japan Houses. Conceived by 24 of Japan's leading architects and designers, each of the houses forecasts and defines a new trend in residential architecture, reinventing the meaning and use of space, material, and function.
177p
mothoiphong
28-06-2024
5
1
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There are generally four factors that determine the performance of the FTS forecasting model (1) determining the length of intervals in the universe of discourse, (2) fuzzification rules or feature representation of crisp time series, (3) establishing fuzzy relation groups (FRGs) and (4) creating defuzzification rule to get crisp forecasted value.
12p
viambani
18-06-2024
2
1
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Time series data is a series of values observed through repeated measurements at different times. Time series data is a type of data present in almost all different fields of life. Time series prediction is an significant problem in time series data mining.
7p
vilarry
01-04-2024
3
1
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The conventional linear econometric and statistical models are not effective for forecasting the nonlinear and complex nature of crude oil prices. Computational intelligence techniques and hybrid modelling principles have been proposed to address this issue. Multiple forecasts can be combined using linear or nonlinear methods to create an aggregate forecast.
6p
viritesh
02-04-2024
3
1
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In this paper, a short-term load forecasting model is proposed based on Long Short-Term Memory (LSTM) network combining linear regression algorithm and EVN-NLDC (National Load Dispatch Centre) data. Short-term load forecasting has an enormous impact on unit commitment, strategic power reserve for national power system and enhances the reliability of the power supply.
4p
vijeff
01-12-2023
7
4
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This study develops and validates a short-term PV power forecasting model by using the combination of a genetic algorithm (GA) and Long Short Term Memory (LSTM). The performance of the proposed model is compared with LSTM baseline model by three errors (Root mean square error(RMSE), Mean absolute error (MAE), and Mean absolute percentage error (MAPE)) in two case studies.
6p
vijeff
01-12-2023
4
3
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Quantitative precipitation estimation (QPE) product has been operationally calculated by combining radar and selected rain gauge data. Methods to distinguish qualified rain-gauge data from poor-qualified rain-gauge data were introduced. Precipitation guidance was developed and tested in several heavy rain cases.
9p
vishekhar
01-11-2023
2
1
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This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.
8p
visharma
20-10-2023
8
4
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In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.
19p
vimurdoch
18-09-2023
7
4
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We introduce data assimilation as a computational method that uses machine learning to combine data with human knowledge in the form of mechanistic models in order to forecast future states, to impute missing data from the past by smoothing, and to infer measurable and unmeasurable quantities that represent clinically and scientifically important phenotypes.
10p
visteverogers
24-06-2023
5
2
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The prolonged drought due to climate change has significantly affected the agricultural production of rural communities in the mountainous and plain areas of Vietnam. We use the standardized precipitation index (SPI) combined with Geographical Information Systems (GIS) and Remote Sensing (RS) to simulate and forecast the impacts of drought on agricultural land use in Bac Tra My district, Quang Nam province, in the study.
17p
vispiderman
15-06-2023
7
2
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The paper proposed an ensemble classifier (EC) that is combined by parallel single classifiers. The single classifiers can compensate for the others by combining in parallel. Then, the EC can improve classification accuracy. The paper proposed the use of Multi-layer Perceptron Networks (MLPN) to build EC. The study is tested on IEEE 39-bus power system network.
6p
vidoctorstrange
06-05-2023
7
3
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The management modelling of the emitted gases SO2 and NOx at Nhon Trach industrial zone was utilized to assess the air quality using the nonlinear multivariate regression, neural network and Kriging technique.
11p
viaudi
04-08-2022
3
1
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In this paper, multi-input multi-output least square support vector regression (MIMOLSSVR) is an improved algorithm based on support vector machine (SVM), with the combination of the sliding-window algorithm is proposed for interval-valued time series forecasting, a new branch in time series analysis field.
4p
vichristinelagarde
04-07-2022
7
1
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In this paper we combine Hedge Algebras (HA) with Particle swarm optimization (PSO) to build fuzzy time series model for forecasting time series. The time series need forecasting is converted into a fuzzy time series, HA is used to quantify the linguistic terms which are the values of the fuzzy time series.
6p
visherylsandberg
18-05-2022
15
2
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Ultra-short-term load forecasting is one of the core techniques for distribution networks operation. Actually, combined forecasting solution is usually used with strong randomness of loads. So how to weight the different forecasting model is a challenge.
4p
viericschmid
12-01-2022
18
0
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In this work, a new algorithm is proposed to predict both univariate and multivariate time series based on a combination of clustering, classification and forecasting techniques. The main goal of the proposed algorithm is first to group windows of time series values with similar patterns by applying a clustering process.
17p
guernsey
28-12-2021
7
0
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This study presents an hourly updated assimilation and model forecast system (Rapid Refresh - RAP) designed for rainfall nowcasting at Ho Chi Minh city (named HCM-RAP). The HCM-RAP implemented the Weather Research and Forecasting (WRF) model, driven by Global Forecast System (GFS) data at horizontal resolution of 0.25x0.25 degree, in combination with rapid update of radar data at Nha Be station.
10p
meyerowitz
25-12-2021
18
0
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The paper proposes a method of short-term load forecasting by constructing a Standardized Load Profile (SLP) based on the past electrical load data, combining machine learning algorithms Support Regression Vector (SVR) to improve the accuracy of load forecasting algorithms.
5p
viwilliamleiding
10-12-2021
10
2
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This chapter provides knowledge of demand estimation & forecasting. The contents of this chapter include all of the following: Production Functions; Total, Marginal, and Average Product; Law of Diminishing Returns to a Factor; Input Combination Choice; Marginal Revenue Product and Optimal Employment; Optimal Combination of Multiple Inputs; Optimal Levels of Multiple Inputs; Returns to Scale; Productivity Measurement.
22p
caphesuadathemtac
09-11-2021
14
0
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