Background When you make a forex transaction, you sell one currency and buy another. They are very energy intensive and time consuming to run,. Instead, this section is intended to provide an overview of the three families of methods, i. For instance, authors in [8] propose the use of statistical models such as auto-regressive models with exogenous inputs (also known as ARX) to forecast the dynamics of the. Week 14 Pool RSK Papers 2020: Bob Morton, Capital Intl. since the last comprehensive literature review of Weron [5]. The last draw in week 27 was Number 45 4 + 5 =9xxx. This is the website for UKRI: our seven research councils, Research England and Innovate UK. Creating a forecast sheet. 96-hour forecast. The proposed. It is the. Welcome to Fortune Soccer we are provide you with football pools papers from RSK and other publishers such as Bob Morton, Capital International,. The automotive revenue pool will grow and diversify with new services potentially becoming a ~USD 1. Only 2% of retail traders can successfully predict currency movement in the. Recent advances endeavor to achieve progress by incorporating various deep learning techniques (e. We review the results of six forecasting competitions based on the online data science platform Kaggle, which have been largely overlooked by the forecasting community. Applying a two-stage SVM in 2015 they extend their model to be able to capture severe price peaks, which they describe as extremely difficult to model in a mid-term forecasting setting (Yan and Chowdhury,2015). Please use relevant data in the Excel workbook Q2_input_file. Your report will require a structure that includes a strong title, followed by an introductory paragraph which generates interest and includes a thesis and mapping of what is to come. Abstract. Bob Morton Pool Paper: this is known as Bob Morton Intercontinental Football Pools analysis paper. The liberalization of electricity markets has launched an. from publication: Forecasting Nord. An appropriate Bayesian formulation and estimation algorithm is proposed, allowing for shrinkage and model selection. With each sunken ball, you'll get some extra seconds allowing you to extend your play limitlessly. Forecast Papers: BigWin, Pools Telegraph Week 15 Temple of Draws Forecast Paper 2019/20 Pool Season NewsbeatPortal Banker Pair: Week 16,. This is due to the fact that BDA has a wide range of applications in SCM, including customer behavior analysis, trend analysis, and demand prediction. The forecasting approach is based on a data-driven inverse optimization (IO. In the past decades, wooden pallets have been used due. In Pool A, heavyweights New Zealand (98. The model is an autoregressive model based on [1] and the data spans the period from 2004 to…. We evaluate the accuracy of both point and interval predictions; the latter are specifically important for risk management purposes where one is more interested in predicting intervals for future price movements than simply point. Meteorologist Ray Petelin joined the KDKA Weather Team in October 2018, but is no stranger to the weather. independent variables) are the prices for the same hour the. 98%) are more suitable for short-term forecasting. To circumvent this issue, here we explore the. This paper discusses building multiple Nord Pool forecasting models for hourly day-ahead prices, which utilize the Python programming la nguage. Week 16 Pool Champions List 2020: Only Those Who Know Pool In SolutionTipster Appear Here . To the best of our knowledge, this is the first GAN. Pending home sales rose 1. Wild Dog Coffee Company, a locally owned company with a single coffee shop location, serves a wide selection of espresso beverages, small breakfast and lunch menu items, and a limited evening menu. Below please find links to our latest blog posts regarding these opportunities. RSK PAPERS – Soccer X Research, Bob Morton, Capital International. Week 1 Pool RSK Papers 2023: Bob Morton, Capital Intl, Soccer X Research, BigWin. Kick-start your project with my new book Deep Learning for Time Series Forecasting , including step-by-step tutorials and the Python source code files for all examples. Demand forecasting can involve forecasting the effects on demand of such changes as product design, price, advertising, or the actions of competitors and. Growth, he adds, is inevitable. It is the most comprehensively compiled weekly 1. 13 page 10chap. , 2019). This paper develops a rainfall prediction technique, named GWO-based Linear Regression (GWLR) model, using the linear regression model and Grey Wolf Optimizer (GWO. Defensive maneuvers include revising long-term incentive program (LTIP) eligibility, adjusting quantum, and changing a portion of the LTIP to be. The targets (i. Enjoy RSK. Multi-horizon forecasting problems often contain a complex mix of inputs -- including static (i. After almost two years of utter COVID chaos in the world, it’s time to look beyond the pandemic toward the future for the pool service industry. The paper must use APA style as outlined in the approved APA style guide and include APA-formatted title and reference pages. Each node works on finding a difficult proof-of-work for its block. Organizations can expand their talent pool 10 times by recruiting through their employees’ networks. Forecasting Big Time Series: Theory and Practice, KDD 2019. Your best source for Victoria BC's news, sports, business, community news and events, entertainment, lifestyles, obituaries, and opinion coverage. The. Related to Pool Forecast. In the meanwhile, we use. , 2013). 1 Uk Football Pools Forecasting Papers Pdf If you ally craving such a referred Uk Football Pools Forecasting Papers Pdf ebook that will have the funds for you worth, acquire the entirely best seller from us currently from several preferred vance fixtures, weekly 1×2 matrix, pool forecasting papers, pool draws this week, pools late news. IELTS Speaking Topic #3: Travel & Transport. It is as a result of its comprehensiveness that makes it one of my best forecast papers. Unfortunately we cannot upload rsk papers yet due to the legal threat. We collected 2 years of data from Chinese stock market and proposed a comprehensive customization of feature engineering and deep learning-based model for predicting price trend of stock markets. “Pool service is pretty resilient, no matter the conditions,” says David Hawes, president and CEO of H&H Pools in Dublin, California. Note the alkalinity and cyanuric acid, as. While considerable work is undertaken to substitute specific parts of the NWP workflow with DL approaches (figure 1, central column), in this paper, we take a bold step forward and address the question of whether it is possible to replace all core parts of the NWP workflow with one deep NN, which would take observations as input and generate. 41 and for IMF is 1. Time series techniques are treated with greater detail because they revealed. The. One of the essential points of this paper is that the use of many technologies allows us to make a better forecast for a given technology, such as solar PV modules. X guide. October 29, 2020 19. Demand forecasting is a process of attaining a fairly accurate approximation of the upcoming need for a product or service given the present state of the environment and historical data to plan and organize businesses (Merkuryeva et al. In this portfolio project, using R and RStudio, you will create an R script (*. PCA/RAS assignment departures are the only departures that you must wait until the Soldier has arrived to the gaining installation to do the departure. It is the most comprehensively compiled weekly 1. Abstract. Finally, while the Rugby Vision predictions provide a reliable forecast. Bob Morton Pool Paper: this is known as Bob Morton Intercontinental Football Pools analysis paper. In this paper we present a comprehensive review on the use of Big Data for forecasting by identifying and reviewing the problems, potential, challenges and most importantly the. We evaluate the accuracy of both point and interval predictions; the latter are specifically important for risk management purposes where one is more interested in predicting intervals for future price movements. 1. buffers, forecasting can help the bank respond to emerging demands and budgeting can incentivise the business –all helping to improve bank-wide returns. At the same time, based on machine learning long short-term memory (LSTM) which has the advantages of analyzing relationships among time series data through its memory function, we propose a forecasting method of stock price based on CNN-LSTM. As in their previous paper, they forecast one month with hourly. (2010), we consider BVAR models of three sizes: small, medium and large. 13 page 3chap. It is an agnostic model since other forecasting models can be explored in the pool; Increases the generalization capacity of the system. This paper has presented three relatively simple spot price forecasting models for the Nord Pool market. Nap Gallery. We model prices across all hours in the analysis period. Machine Learning (ML) methods have been proposed in the academic literature as alternatives to statistical ones for time series forecasting. Search Help. In fact, I am most likely to admit here that Bob Morton is my favourite forecast paper. Forecasting is a technique that uses historical data as input s to make informed estimates. Post a Question. Competitions play an invaluable role in the field of forecasting, as exemplified through the recent M4 competition. The enhanced competition forces airlines to. stake your pool draws on gbetpools. Get a sample of this industry analysis as a free report PDF download. Practical. Many forecasting approaches have been developed in the past to forecast short-term wind power. IELTS Speaking Topic #4: Events, Experiences & Special Occasions. Instead of the need to select a single optimal forecasting model, this paper introduces a deep learning ensemble forecasting model based on the Dirichlet process. multivariate time series forecasting: , where. In fact, I am most likely to admit here that Bob Morton is my favourite forecast paper. Between 2012 and 2019, profit pools (earnings before interest, taxes, depreciation, and. Rsk Papers Week 24 2020. 2 speeches — Football Pools (Paper) Commons February 18, 1947. In fact, I am most likely to admit here that Bob Morton is my favourite forecast paper. This paper aims to analyze the Rossmann sales data using predictive models such as linear regression and KNN regression. In recent years, a recommender system scheme has been developed for time series analysis using a meta-learning approach. Let us know if you have feedback. 2 web apr 27 2023 uk football pools forecasting papers lia erc gov ph web uk football pools forecasting papers the greenhouse effect and pre flood days may 12th 2018 National Renewable Energy Laboratory, February 2015. The mathematical model of the FFF printing process has been developed with. 1. Email *. How to develop CNN models for multi-step time series forecasting. Majid Zaman. If the currency you buy increases against the currency you sell, you profit, and you do this through a broker as a retail trader on the internet using a platform known as meta trader. 2. Pool Fixtures – Click Here. While the advances in forecasting knowledge allow for substantial improvements in forecast accuracy,As an example, you could source a YouTube video that expands your understanding of the basics of forecasting demand from either the demand or supply side. Pool Club is a pool game created by Ravalmatic. December 6, 2021 22:30. Save my name, email, and website in this browser for the next time I comment. This paper considers estimating the slope parameters and forecasting in potentially heterogeneous panel data regressions with a long time dimension. Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. Therefore, our prediction is that the winners will be the companies that maintain rigorous share pool forecasting and planning so they can take the right balance of offensive and defensive action. Forecast combination integrates information from various sources by consolidating multiple forecast results from the target time series. It is as a result of its comprehensiveness that makes it one of my best forecast papers. This paper analyzes different forecasting techniques to predict the 24 market-clearing prices of a day-ahead electric energy market. Download scientific diagram | 5. Section 3 describes the data and the VAR model space used in our application to Swiss data. A. Unlike Weron and Misiorek (2008), which use temperatures, we use historical. 1. Caption. Download scientific diagram | 5. The rest of the paper is divided as follows: the related works are discussed in Section2; Section3describes the models used to perform solar irradiance forecasting; Section4Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms. RSK PAPERS – Soccer X Research,. Traditionally, meteorologists use massive computer simulations to make weather predictions. It is as a result of its comprehensiveness that makes it one of my best forecast papers. We are a trusted adviser to industry-leading organizations across the. This paper studies electricity prices from the Nord Pool power market. II. The IPEX market of Italy increased by 4. e. Keywords: Load, forecasting, statistics, regression, artificial intelligence. Abstract and Figures. The model is based on Weron and Misiorek (2008) but reduced in terms of estimation parameters (from 24 sets to 1) and. Get help with homework questions from verified tutors 24/7 on demand. Therefore, the improvement of demand forecasting methods has become more and more important for manufacturers, distributors and retailers [5–7]. 97. Aim of this paper is to describe and compare the machine learning and deep learning based forecasting models that predict Spot prices in Nord Pool’s Day-ahead. Initial Trend Estimate = (528 - 500)/3 = 28/3 = 9. It is the most comprehensively compiled weekly 1. Due to the complex patterns and dynamics of the data, accurate short-term load forecasting is still a challenging task. McKinsey analysis shows how the shift could create opportunities and risks for automakers around the world. In this paper we describe application of recurrent neural networks for short-term (day-ahead) electricity price forecasting of Lithuania’s price zone in Nord Pool1 market. stake my three fixed draws this weekend week-20 is the english season join the 20 weeks uk pool sequence and stand out strong for our weekly 3/3 for 43 weeks---promo promo promoDemand forecasting asks how much of a good or service would be bought, consumed, or otherwise experienced in the future given marketing actions, and industry and market conditions . Forecasting US in. developing qualifications inventories. Load forecasting helps anout that consumption can be used to forecast extreme events in the Nord Pool power market. This paper analyses the forecasting power of weekly futures prices at Nord Pool. The rest of the paper is divided as follows: the related works are discussed in Section2; Section3describes the models used to perform solar irradiance forecasting; Section4 One of the challenging questions in time series forecasting is how to find the best algorithm. The research has been conceptualised on AI-based frameworks blended. X guide. 1. My forecast this WK 01 is from a paper called Soccer Standard, Brown. One of the essential points of this paper is that the use of many technologies allows us to make a better forecast for a given technology, such as solar PV modules. Lake Charles, LA 70601. The beta-transformed linear pool (bLP; see Gneiting & Ranjan, 2013, Section 3. The Waymo Open Dataset is comprised of high-resolution sensor data collected by autonomous vehicles operated by the Waymo Driver in a wide variety of conditions. METHODS A. RSK Capital International Pool paper dead game of the week is: ()>>>>> Are you a compiler? Do you use and understand Capital Football pools forecast paper? Do you have a little knowledge of the famous leading 1/2/X guide? – Mr Oyibo: +234-703-981-7674. Week 6:5xxx21xxx26xxx 6xxx/42xxx. Currently, many tasks use deep neural networks for power load. Pool Draw This Week 11 Pool Banker Room 2023 – Pool Draws This Week. presented a comprehensive review of factors that affects EED forecasting, such as forecast model, evaluation metric, and input parameters. substantially reduce forecast errors for all types of forecasting problems . X guide. « Week 14 Pool Draw for Sat 7, Oct 2023 – UK 2023/2024Here, we furnish you with weekly and current pool rsk papers for your forecast and winning pleasure. e. from publication: Forecasting Nord. Once approved you can depart and arrive the Soldier. The results indicate that theUnformatted Attachment Preview. Existing literature only gives a very general overview of the AI methods used in combination with demand forecasting. Weather and Forecasting (WAF) publishes research that is relevant to operational forecasting. This paper considers an aggregator of Electric Vehicles (EVs) who aims to forecast the aggregate power of her fleet. Forecasting framework Within the framework of a pool-based electric energy market, this paper considers forecasting techniques to estimate the 24 day-ahead market-clearing prices. Keywords: Time Series, Statistical Practice, Nonlinear Regression To whom correspondence should be addressed. This review used the “Delphi study” for the published studies that used Delphi methodology. Forecasting the evolution of a pandemic 7. Week 10 RSK Pool Papers 2023: Soccer, Bob Morton, Capital Intl, Winstar, BigWin. The last draw in week 42 is number 49 4 + 9 =13In this paper, rainfall data collected over a span of ten years from 2007 to 2017, with the input from 26 geographically diverse locations have been used to develop the predictive models. So, activate a cell in a new column parallel to February (2nd month of our data): 2. Section 4 reviews the literature on betting market efficiency. The autoregressive models are based Option #1: Operations Management Forecasting Common Instructions This Critical Thinking Assignment option consists of two activities: (1) Performing the Pearson MyOMLab (Links to an external site. McKinsey research backs up this approach: companies that rapidly allocate talent to. 5 trillion market in 2030 Today Traditional automotive revenues Vehicle sales dominant 2. Bob Morton Pool Paper: this is known as Bob Morton Intercontinental Football Pools analysis paper. Results from a simulation study. S. Initially, the learning rate is sampled with three basis distributions as hyperparameters to. Detailed Forecast; Tonight: A few showers ending this evening then mainly cloudy. univariate time series forecasting: , where L is the history length, H is the prediction horizon length. Thanks sir. In this paper, we use data from 2004 to 2011 (years with both dry and wet periods). Here we also classify solely based on the model's description in the original paper. The model is based on Weron and Misiorek (2008) but reduced in terms of estimation parameters (from 24 sets to 1) and modified to include Nordic demand and Danish wind power as exogenous variables. 37% during the forecast period (2023-2028). This paper considers estimating the slope parameters and forecasting in potentially heterogeneous panel data regressions with a long time dimension. Anomaly detection involves identifying the differences, deviations, and exceptions from the norm in a dataset. This paper has critically evaluated expand writings committed to Energy. Panel (b) shows the model forecasts at forecast lead time of 96 hours (upper panel) and the corresponding true wind speeds at that time (lower panel). There are three ways how you can apply the moving average method to forecast numbers. provider. •. A rationale for a Nord Pool forecasting model is that the. An integrated analytical model for the forecasting of the molten pool dimensions in Selective Laser Melting. 2. Ratio Analysis. MIT researchers created a tool that enables people to make highly accurate predictions using multiple time-series data with just a few keystrokes. fixtures weekly 1 2 matrix pool forecasting papers pool draws this week pools late news week 34 pool rsk papers 2022 bob morton capital intl soccer x research winstar bigwin. In this paper, we propose a novel approach to focusing on some of the unanswered questions resulting from the use of meta-learning in time series forecasting. This paper is focused on price-responsive load forecasting, which has been also studied in the technical literature by using a plethora of black-box models [8], [9], [10]. Sure banker pool draw of the week, soccer COUPON, this weekend fixed predictions. Player rankings, projections, top pickups, podcast episodes throughout 2023-24 season. In contrast, the steps carried out in the outline are (1) Identification of tentative (temporary) models. One of the most popular models is the feed-forward multilayer network [11]. 1 Uk Football Pools Forecasting Papers Pdf Getting the books Uk Football Pools Forecasting Papers Pdf now is not type of inspiring means. 0 Members and 0 Guests are viewing this board. Other more recent contributions, all pointing towards the importance of using medium-large dataset for. Cash Flow Forecast means a. Mobility’s net-zero transition: A look at opportunities and risks. Section 2 describes the different VAR specifications that constitute the model space of the ensemble forecast, and how the linear opinion pool is constructed from the individual forecast densities. Current conditions and forecasts including 7 day outlook, daily high/low temperature, warnings, chance of precipitation, pressure,. The Delphi method or Delphi technique (/ ˈ d ɛ l f aɪ / DEL-fy; also known as Estimate-Talk-Estimate or ETE) is a structured communication technique or method, originally developed as a systematic, interactive forecasting method which relies on a panel of experts. 4% p. Bob Morton Pool Paper: this is known as Bob Morton Intercontinental Football Pools analysis paper. Enjoy. Accurate and timely infectious disease forecasts could aid public health responses by informing key preparation and mitigation efforts. By @ukfootballpools 4 months Ago. I: 165-185 YSRCP: 24-25 BJD: 13-15 Others: 11-14 Google Search Share: BJP 70%, Congress 30%; Social Media Sentiments: BJP -29%, Congress -20%;. Start your search by first listing key search terms you will use to locate two resources for this. 4 And lastly transfer to a particular position in the local football pools forecast paper called The Dream to produce 5/5. Feed-forward neural network Neural networks are a class of non-linear models. 64. 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ADDRESS: Office of Jury Pool Management. This paper discusses building multiple Nord Pool forecasting models for hourly day-ahead prices. Sales forecasting is an essential task in retailing. 3,500 USD billions New automotive revenues, 2030 Recurring revenues significantly increasingList of papers, code and experiments using deep learning for time series forecasting - GitHub - Alro10/deep-learning-time-series: List of papers, code and experiments using deep learning for time series forecasting. Reply. Here, we furnish you with weekly and current pool rsk papers for your forecast and winning pleasure. Buy Keys & System. Compiled by Save Marksinson in London, the paper is gradually turning out to be one of the most sought after forecast papers. Week 15 Pool RSK papers page. This paper presents a Nord Pool forecast model for hourly day-ahead prices, utilizing the Python software. Background Infectious disease forecasting aims to predict characteristics of both seasonal epidemics and future pandemics. The paper concludes by arguing that the unique contribution that OR can continue to make to forecasting is through developing models that link the effectiveness of new forecasting methods to the. Real-world time series data often consist of non-linear patterns with complexities that prevent conventional forecasting techniques from accurate predictions. Think in terms of hiring teams. Statistics for the 2023 Swimming Pool market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Weather forecasting is the use of science and technology to predict the condition of the weather for a given area. 1 2. 1. Main body For forecasts to be fully integrated into public health decision-making, federal, state, and local officials must understand. Stock price data have the characteristics of time series. 500 +30% 30 6,700 4. arXiv. 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This rate would still be lower than what the paper industry has achieved but would nevertheless represent a major step for the petrochemical and plastics industry. This paper documents that the forecasting performance of the SWFF model is better than that of the SW π model during financially turbulent times, but it is worse during tranquil times. The beta-transformed linear pool (bLP; see Gneiting & Ranjan, 2013, Section 3. Fig. FourCastNet is able to forecast the wind speeds 96 hours in advance with remarkable fidelity and correct fine-scale. 3) uses the density where is the density of the beta distribution with parameters α > 0, β > 0 to be estimated, and F lp is the CDF of the linear pool. , Man, K. : Electricity price forecasting for nord pool data, pp. Abstract. In response, nearly all pharmacos are experimenting with. Y. Welcome to the New 2020/2021 English. inflation evaluated on a sample from 1990:1 to 2020:2. A nearby utility quotes slightly higher prices at $22, $44, $26, and $75 for spring, summer, fall, and winter. Questions are posted anonymously and can be made 100% private. In a best-case scenario, you make it through. 2. IELTS Speaking 2023 – 2024. Week 1 Draw Vision Late News, Week 2, 2020 Pool Forecast PAPERS Week 50, 2020 UK Pools Late News, Week 51 Pool Forecast Papers How to Forecast Pool Draws: Week 23, 2019 Right-On Football Fixtures Uk Football Pools Forecasting Papers Uk Football Pools Forecasting Papers - u1. forecast the month of July 2010 (Yan and Chowdhury,2013). ) Commons February 17, 1947. But the stationarized series deprived of inherent non-stationarity can be less instructive for real-world bursty events forecasting. 2. Explore and Predict Sales Price of the Ames, IA Housing data sets In real estate, housing market prediction (forecasting) is crucial. Using this initial trend estimate and. One of the most popular models is the feed-forward multilayer network [11]. Temple of Draws Pool Forecast Papers is here again to help stakers make calculated amd decisive decisions during this ongoing 2019/2020 English. A bargain five years ago, State is now considered an expensive state-supported university. Forecasting Systems for Production and Inventory Controlchap. , 1–5. For experimentation, 1500 days of historical data was used. Post a Question. 4 for this sales data. There are many human resource. The authors examine both low wind (8% penetration) and high wind (25%. Pool elevations are important criteria for the tier determinations at Lakes Powell and Mead. Yet, long-horizon forecasting remains a very difficult task. In fact, I am most likely to admit here that Bob Morton is my favourite forecast paper. Continue Reading ». A barrier to utilizing machine learning in seasonal forecasting applications is the limited sample size of observational data for model training. The Global Banking Annual Review 2023: The Great Banking Transition. Forecasting Nord Pool day-ahead prices with Python. 1% in September 2023, with the Northeast, Midwest and South posting monthly gains in transactions and the West experiencing a loss. It is one of the most difficult issues the world over. +1. HANSARD 1803–2005 → 1940s → 1947 → February 1947 → 13 February 1947 → Commons SittingContents. X guide. 13 page 9chap. • The MAPE for both forecasts. PDF | On Jan 1, 1999, D. First, according to the criterion of the minimum redundancy maximum relevance (mRMR) algorithm, several factors are sifted from the. In particular, consumer-oriented markets such as fashion and electronics face uncertain demands, short life cycles and a. org e-Print archiveThe input-output analysis table quantifies the flows of outputs from one industry (in rows) as inputs into another (in columns). INTRODUCTION. Conejo et al. As the field of EPF is very diverse, a complete literature review is out of the scope of this paper. g. We analyze its implications concerning forecast uncertainty, using a new framework that focuses onDemand Forecasting and Integrating Systems. Accurately forecasting spikes in demand for products and services, for example, can give a company a competitive advantage. 2. “Delphi rounds” is used for the survey questionnaire rounds to develop iterative discussion among panel members. RSK Pools Papers 2023 Week 1 rsk papers 2023: Here we provide you with. 000 720 1. Gilbert. Apart from the fact that pool paper ditches out draws weekly, it is also Becoming knowned for helping stakers, compilers, nap sellers, etc screen their games before sending. In this tutorial, you will discover the exponential. [KDD 2023] FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks [arxiv 2023] Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting [paper] [arxiv 2023] Dynamic Graph Convolution Network with Spatio-Temporal Attention Fusion for Traffic Flow Prediction [paper]Football Pools. In this portfolio project, using R and RStudio, you will create an R script (*. Traditionally, meteorologists use massive computer simulations to make weather predictions. This paper develops a rainfall prediction technique, named GWO-based Linear Regression (GWLR) model, using the linear regression model and Grey Wolf Optimizer (GWO. Demand forecasting represents a solid basis for planning and procurement processes that make the supply chain more responsive and efficient [3,4]. Live scores and Advanced Fixtures Pools fixtures, Post poned, Void matches, Late kick offs, Early kick offs, Play on sundays, pools coupons and the results too. 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