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Price forecasting

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  • Part 2 book "The electric power engineering handbook - Power systems" includes content: Planning environments, short term load and price forecasting with artificial neural networks - transmission plan evaluation, assessment of system reliability, power system planning, power system reliability, probabilistic methods for planning and operational analysis, engineering principles of electricity pricing, business essentials,... and other contents.

    pdf299p dianmotminh03 17-06-2024 0 0   Download

  • Part 2 of ebook "Estimating and tendering for construction work (Third edition)" provides readers with contents including: Chapter 11 - Unit rate pricing; Chapter 12 - Sub-contractors and nominated suppliers; Chapter 13 - Fluctuations; Chapter 14 - Provisional sums and dayworks; Chapter 15 - Project overheads; Chapter 16 - Cashflow forecasts; Chapter 17 - Completing the estimate and final tender review; Chapter 18 - Tender submission and results; Chapter 19 - Action with the successful tender;...

    pdf179p dongmelo 26-05-2024 6 3   Download

  • Part 2 book "Electric power systems - Advanced forecasting techniques and optimal generation scheduling" includes content: Price based scheduling for gencos, optimal self schedule of a hydro producer under uncertainty, hydrothermal producer self scheduling, unit commitmentand economic dispatch for operations planning of power systems with significant installed wind power capacity, operational optimization of multigeneration systems.

    pdf255p dianmotminh01 20-05-2024 6 5   Download

  • Part 1 book "Electric power systems - Advanced forecasting techniques and optimal generation scheduling" includes content: Overview of electric power generation systems, uncertainty and risk in generation scheduling, short term load forecasting, short term electricity price forecasting, short term wind power forecasting.

    pdf193p dianmotminh01 20-05-2024 4 2   Download

  • This study compares the accuracy of two popular time series forecasting models, namely the autoregressive integrated moving average (ARIMA) model and the long short-term memory (LSTM) model, in predicting daily gold prices from 2000 to 2023. The ARIMA model is a traditional approach that relies on past values to forecast future values, while the LSTM model is a deep learning technique that captures long-term dependencies in time series data.

    pdf16p dathienlang1012 03-05-2024 0 0   Download

  • The primary goal of supply chain management is to meet customer needs through the most efficient use of resources, including the allocation of capacity, inventory and workforce. In theory, the supply chain management seeks to match supply and demand and seeks to do so at minimal cost. And the main indicator of changes in the ratio of supply and demand is the change in the price of products. Trend-seasonal time series models were used to analyze the price behavior in the milk market of the Northern region of Kazakhstan.

    pdf8p longtimenosee10 26-04-2024 5 1   Download

  • The core idea behind this research is to examine the significance of financial ratios taken from the financial reports or statements to forecast trend in stock price. For this purpose financial ratios have been taken to forecast stock returns from 2008 to 2018. Thus to predict the future price of stock four financial ratios have been taken, “price to book ratio (P/B), price to earnings ratio (P/E), dividend per share (DPS) and firm sizes”.

    pdf8p longtimenosee09 08-04-2024 4 1   Download

  • 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.

    pdf6p viritesh 02-04-2024 3 1   Download

  • The proposed paper is an analysis of the impact of coordination mechanisms on the procurement performance indicators of participants in supply chains.

    pdf8p longtimenosee06 27-03-2024 3 2   Download

  • Part 1 of ebook "The valuation of shares and the efficient-markets theory" provides readers with contents including: Chapter 1 - The role of the stock market; Chapter 2 - The valuation of stocks and shares; Chapter 3 - Forecasting company profits; Chapter 4 - Statistical models of accounting data;...

    pdf95p mocthanhdao0210 19-11-2023 6 4   Download

  • The article studies the problem of forecasting the closing price of a stock based on historical data of a previous day. The paper uses and compares algorithms based on deep learning such as LSTM, BiLSTM, and CNN. The dataset includes data on price, trading volume and some technical indicators related to VCB, MSN, and HPG shares. The results show that CNN performs better for predicting the next day’s closing price than the other architectures.

    pdf11p visystrom 22-11-2023 8 4   Download

  • Ebook "The valuation of shares and the efficient-markets theory" provides readers with contents including: the role of the stock market; the valuation of stocks and shares; forecasting company profits; statistical models of accounting data; the capital asset pricing model; the efficient-markets theory; tests of the efficient-markets theory; accounting and efficient markets; concluding remarks;...

    pdf191p loivantrinh 29-10-2023 7 3   Download

  • Estimation of Construction Price Index (CPI) is important for a market economy and it is a measure to manage construction investment costs. This is a tool to help organizations and individuals to reduce the effort and management of expenses for construction projects by reducing time of procedures for calculating and adjusting the total investment for the estimation and evaluation of contract price.

    pdf11p visharma 20-10-2023 7 4   Download

  • Lecture Supply chain management - Chapter 2: Supply chain planning, help students should be able to: gain a conceptual appreciation of the business activities that drive supply chain operations; exercise a high-level understanding of activities involved in supply chain planning; understand basic concepts of demand forecasting and inventory management;...

    pdf17p cotieutieu 07-10-2023 7 5   Download

  • This paper presents a short-term load forecasting model using the backpropagation neural network (BPNN) model. The proposed model is based on data on loads and factors that directly affect electricity demand, such as temperature, humidity, load over time in the past, etc., collected from the electricity market ISO New England.

    pdf8p viisac 15-09-2023 8 3   Download

  • Continued part 1, part 2 of ebook "Basic management accounting for the hospitality industry" provides readers with contents including: cost management; pricing and revenue management; cost-volume-profit analysis; internal control; forecasting; budgeting and variance analysis; capital investment decisions; nature and limitations of forecasting; special characteristics of the hospitality industry from an internal control perspective;...

    pdf216p hanlinhchi 28-08-2023 7 4   Download

  • Part 1 of ebook "The economics of recreation, leisure and tourism (Fourth edition)" provides readers with content including: Chapter 1 - Introduction; Chapter 2 - Recreation, leisure and tourism organizations; Chapter 3 - The market for recreation, leisure and tourism products; Chapter 4 - Demand, time preference, elasticity and forecasting; Chapter 5 - Supply and costs; Chapter 6 - Market structure and pricing; Chapter 7 - Market intervention;...

    pdf263p lytamnguyet 04-08-2023 5 3   Download

  • Ebook Managerial economics (Seventh edition): Part 1 presents the following content: Chapter 1: introduction to economic decision making, chapter 2: optimal decisions using marginal analysis, chapter 3: demand analysis and optimal pricing, chapter 4: estimating and forecasting demand, chapter 5: production, chapter 6: cost analysis.

    pdf304p haojiubujain03 24-07-2023 14 4   Download

  • The study "Forecasting model of Vietnamese consumers’ purchase behavior of domestic products" of the determinants of consumer purchase decisions of domestic goods is necessary in the context of Vietnams’ international integration in order to help domestic firms improve their competitiveness. This study aims to analyze factors influencing Vietnamese consumers’ purchase decision of domestic products based on Binary Logistic regression model.

    pdf9p nhanchienthien 25-07-2023 7 5   Download

  • Part 1 of ebook "Managerial economics: Foundations of business analysis and strategy (Twelfth edition)" presents the following content: managers, profits, and markets; demand, supply, and market equilibrium; marginal analysis for optimal decisions; basic estimation techniques; theory of consumer behavior; substitution and income effects of a price change; elasticity and demand; demand estimation and forecasting; production and cost in the short run; production and cost in the long run;...

    pdf387p damtuyetha 09-01-2023 6 2   Download

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