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市場調查報告書

全球電力系統用狀態估計器市場趨勢分析與預測:各軟體類型(公共事業、電力控制中心)、引進處(供電、配電)、解決方案(WLS、LAV、卡爾曼濾波、貝氏、高斯牛頓法)

Power System State Estimator Market by Software type (Utility & Power control centers), Application (Transmission & Distribution Networks) and Solution Methods (WLS, LAV, Kalman Filter, Bayesian, Newton Gaussian) - Global Trends & Forecasts to 2019

出版商 MarketsandMarkets 商品編碼 316175
出版日期 內容資訊 英文 189 Pages
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全球電力系統用狀態估計器市場趨勢分析與預測:各軟體類型(公共事業、電力控制中心)、引進處(供電、配電)、解決方案(WLS、LAV、卡爾曼濾波、貝氏、高斯牛頓法) Power System State Estimator Market by Software type (Utility & Power control centers), Application (Transmission & Distribution Networks) and Solution Methods (WLS, LAV, Kalman Filter, Bayesian, Newton Gaussian) - Global Trends & Forecasts to 2019
出版日期: 2014年09月23日 內容資訊: 英文 189 Pages
簡介

由於狀態估計器顯示需求擴大,對節能的關注高漲等,全球電力系統用狀態估計器的市場,預計從2014年到2019年以14.35%的年複合成長率發展,從2014年的30億美元,2019年達到58億7,000萬美元的規模。

本報告提供全球電力系統用狀態估計器的市場相關資料詳細分析、軟體類型、引進處、解決方案、各地區的市場規模的變化與預測、市場的各種影響因素分析、企業及企業間趨勢,以及主要企業的簡介等彙整。

第1章 簡介

第2章 調查手法

第3章 產業概要

  • 市場生態系統
  • 能源管理系統(EMS)
    • 簡介
    • EMS市場的趨勢
    • 市場規模與預測:各類軟體
      • 概要
      • 公共事業用EMS軟體
      • 產業用EMS軟體
      • 企業用碳&能源管理軟體
      • 家用EMS
      • 其他
    • 市場規模與預測:電力、能源產業
      • 市場規模與預測:各軟體類型
      • 市場規模與預測:各地區
    • 市場規模與預測:各地區
      • 北美市場:各軟體類型
      • 歐洲
      • 亞太地區
      • 南美
      • 中東、非洲
  • SCADA(監視控制系統)
    • 簡介
    • 市場規模與預測:各地區
      • 概要
      • 南北美洲
        • 市場規模與預測:各零件
        • 市場規模與預測:各架構
        • 市場規模與預測:各應用領域
      • 歐洲
        • 市場規模與預測:各零件
        • 市場規模與預測:各架構
        • 市場規模與預測:各應用領域
      • 亞太地區
        • 市場規模與預測:各零件
        • 市場規模與預測:各架構
        • 市場規模與預測:各應用領域
      • 其他地區
        • 市場規模與預測:各零件
        • 市場規模與預測:各架構
        • 市場規模與預測:各應用領域
  • 狀態估計器
    • 簡介
    • 狀態估計器模式
      • 網路拓撲處理(NTP)
      • 測量值的無矛盾性檢驗
      • 觀察分析
      • 狀態估計
    • 拓撲學估計
    • 時間排程模式的實施
    • 狀態估計器的通訊流通管道

第4章 市場概要

  • 簡介
  • 製圖趨勢
    • 全球能源需求的增加
    • 能源價格
  • 市場進入者和所扮演的角色
  • 市場動態
    • 促進要素
      • 法律規章、優點
      • 智慧電網的發展
      • 企業的社會責任(CSR)和品牌形象
    • 阻礙要素及課題
      • 業界標準的缺乏
      • 財政的規定、市場教育
    • 市場機會
      • 智慧電網計劃用狀態估計器
      • 緩和停電損失的狀態估計器

第5章 電力系統用狀態估計數量的成本結構

  • 概要
    • 狀態估計統計的工程
  • 價格決策因素

第6章 實行的課題與經驗

  • 概要
  • 影響狀態估計器解決方案的可用性及準確度的要素
    • 不正確的網路拓撲
    • 不完全的觀測
    • 不完全的冗長性
    • 網路無法觀測的部份不正確的負荷分配因素
    • 電力系統狀態估計數量解決方案的品質標準
  • 停電/停電的經濟成本
    • 根本原因的摘要
    • 北美的現象
    • 歐洲的現象
    • 其他地區的歷史性停電
    • 系統功能停止的成本和結果
    • NASPI(North American Synchrophasor Initiative)計劃
  • SE的實行:案例研究
    • Pacificorp
      • Pacificorp的EMS系統
      • Pacificorp的SE調諧經驗
      • Pacificorp的EMS的高度用途(現在)
      • Pacificorp的EMS的高度用途(未來)
    • Ercot
      • 成本 vs 生產量
    • Midwest ISO Trial

第7章 市場規模與預測:各軟體

  • 概要
  • 電力控制中心

第8章 市場規模與預測:各引進目的地

  • 簡介
  • 傳送網路
    • 概要
    • 市場規模與預測:各地區
  • 流通網路
    • 概要
    • 市場規模與預測:各地區
    • 市場規模與預測:各零件

第9章 市場規模與預測:各解決方案法

  • 簡介
  • 加重最小平方(WLS:Weighted Least Squares)法
    • 概要
    • 市場規模與預測:各地區
  • 最小絕對值(LAV:Least Absolute Value)法
    • 概要
    • 市場規模與預測:各地區
  • 其他方法
    • 概要
    • 市場規模與預測:各地區

第10章 電力系統用狀態估計器(SE):各地區的市場規模與預測

  • 概要、簡介
    • 重新評估產業活動的能源產業
    • 電力產業的轉換
    • 基礎設施
    • Parfait Charts
  • 北美
    • 概要
    • 市場規模與預測:各軟體類型
  • 歐洲
    • 概要
    • 市場規模與預測:各軟體類型
  • 亞太地區
    • 概要
    • 市場規模與預測:各軟體類型
  • 南美
    • 概要
    • 市場規模與預測:各軟體類型
  • 中東、非洲
    • 概要
    • 市場規模與預測:各軟體類型

第11章 電力系統用狀態估計器:客戶、提供價值

  • 狀態估計方法
    • 即時引進客戶
    • 離線引進客戶
  • 客戶需求決策因素
    • 即時引進客戶
    • 離線引進客戶
  • 提供價值
    • 即時&離線引進客戶

第12章 競爭情形

  • 簡介
    • 競爭市場方案
    • 契約/聯盟/契約/合資企業 :最理想的策略性方法
  • 主要市場策略
    • M&A
    • 契約/聯盟/契約/合資企業
    • 新的產品、技術的投入
    • 擴張及投資

第13章 企業簡介

  • Abb Group
  • Siemens Ag
  • Alstom
  • Open System International, Inc. (OSI)
  • General Electric
  • Nexant
  • ETAP Electrical Engineering Software
  • BCP Switzerland (Neplan)
  • CYME International
  • Digsilent (Power Factory)
  • Energy Computer Systems (Spard)
  • Electrocon (CAPE)
  • EPFL (Simsen)
  • GDF Suez (Eurostag)
  • Powerworld
  • KEPCO (KW-PSS)
  • PRDC (Mipower)
  • Inspired Interfaces (Retic Master)
  • Siemens PTI
  • SKM (Power Tools for Windows)
  • TOM (Pasha)
    • 產業概要
    • 產品&服務
    • 主要策略
    • SWOT分析
    • MNM的見解等

附錄

圖表清單

目錄
Product Code: EP 2755

This report estimates the market for power system state estimators by value. All major geographic markets have been covered in this report. The power system state estimator has been segmented by software as Utility and Power control center software; and by application as Transmission and Distribution segments.

State estimators help in monitoring, controlling, and supervising of transmission and distribution networks. These got prominence aftermath the biggest power blackouts, and consequent loss of millions of dollars. As new power generation sources like wind, Solar, and Biomass are coming up, the Grid needs to have complete control on the network to monitor and integrate the power from different sources. Also to include are Industrialization, expansion of the grid making the network more complex these days. The micro grids and smart grids are increasingly adopted by all geographies.

Lack of globally defined industry standards will certainly pose a hindrance to the State estimator market. Power system state estimators; currently find their applications more in transmission networks, than in distribution networks. The key players in the market are rigorously active in collaborations, joint ventures and partnerships etc. as their primary strategic approach of growth.

The related market data has been sourced through government databases, facts published by multinational agencies, encyclopedias, Industry associations, power journals, and directories have been used to gather information while preparing this commercial study on power system state estimator. The sources also include industry experts, discussions, and surveys.

Power system state estimator market has been segmented into five regions namely North America, Europe, Asia-Pacific, Middle East & Africa and Latin America. North America is the largest market for power system state estimators, while Latin America is the one with the highest projected CAGR. Europe and Asia-Pacific are also started catching up the market.

The report includes the profiles of leading players of this industry with their recent developments and other strategic growth activities. Some of the key companies profiled include Open Systems International Inc. (USA), General Electric (USA), Nexant (USA), ETAP/Operation Technology Inc. (USA), Electrocon International, Inc (USA), CYME International (Canada), ABB Ltd. (Switzerland), Siemens AG (Germany), DIgSILENT GmbH (Germany), Neplan AG (Switzerland), Alstom (France), Energy Computer Systems Ltda (Colombia) and GDF SUEZ S.A. (France).

Table of Contents

1 Introduction

  • 1.1 Research Overview
    • 1.1.1 Purpose and Scope
    • 1.1.2 Report Description
    • 1.1.3 Key Take-Aways
  • 1.2 Research Methodology
    • 1.2.1 Secondary and Primary Research
      • 1.2.1.1 Key Data Taken From Secondary Sources
      • 1.2.1.2 Key Secondary Sources Used
      • 1.2.1.3 Key Data Validated From Primary Sources
    • 1.2.2 Assumptions Made for This Report
    • 1.2.3 Data Triangulation and forecasting
  • 1.3 Market Size Estimation Methodology
    • 1.3.1 Markets Covered
    • 1.3.2 Key Definitions
  • 1.4 Market Share Estimation
    • 1.4.1 Key Data Points Taken From Secondary Sources

2 Executive Summary

3 Industry Overview

  • 3.1 Market Eco System
  • 3.2 Energy Management Systems (EMS)
    • 3.2.1 Introduction
    • 3.2.2 Trends in the EMS Market
    • 3.2.3 EMS: Market Size and forecast By Software
      • 3.2.3.1 Overview
      • 3.2.3.2 Utility EMS Software
        • 3.2.3.2.1 Market Size and forecast By Region
      • 3.2.3.3 Industrial EMS Software
      • 3.2.3.3.1 Market Size and forecast By Region
      • 3.2.3.4 Enterprise Carbon and Energy Management Software
        • 3.2.3.4.1 Market Size and forecast By Region
      • 3.2.3.5 Residential EMS
        • 3.2.3.5.1 Market Size and forecast By Region
      • 3.2.3.6 Others
        • 3.2.3.6.1 Market Size and forecast By Region
    • 3.2.4 EMS: Market Size and forecast in Power & Energy Vertical
      • 3.2.4.1 Market Size and forecast By Software Type
      • 3.2.4.2 Market Size and forecast By Region
    • 3.2.5 EMS: Market Size and forecast By Regions
      • 3.2.5.1 North America (NA) Market Size and forecast By Software Type
      • 3.2.5.2 Europe
        • 3.2.5.2.1 Market Size and forecast By Software Type
      • 3.2.5.3 Asia-Pacific (APAC)
        • 3.2.5.3.1 Market Size and forecast By Software Type
      • 3.2.5.4 Latin America (LA)
        • 3.2.5.4.1 Market Size and forecast By Software Type
      • 3.2.5.5 Middle East and Africa (MEA)
    • 3.2.5.5.1 Market Size and forecast By Software Type
  • 3.3 SCADA
    • 3.3.1 Introduction
    • 3.3.2 SCADA Market Size and forecast By Region
      • 3.3.2.1 Overview
      • 3.3.2.2 Americas
        • 3.3.2.2.1 Market Size and forecast By Component
        • 3.3.2.2.2 Market Size and forecast By Architecture
        • 3.3.2.2.3 Market Size and forecast By Application
      • 3.3.2.3 Europe
        • 3.3.2.3.1 Market Size and forecast By Component
        • 3.3.2.3.2 Market Size and forecast By Architecture
        • 3.3.2.3.3 Market Size and forecast By Application
      • 3.3.2.4 Asia-Pacific
        • 3.3.2.4.1 Market Size and forecast By Component
        • 3.3.2.4.2 Market Size and forecast By Architecture
        • 3.3.2.4.3 Market Size and forecast By Application
      • 3.3.2.5 Rest of the World
        • 3.3.2.5.1 Market Size and forecast By Component
        • 3.3.2.5.2 Market Size and forecast By Architecture
        • 3.3.2.5.3 Market Size and forecast By Application
  • 3.4 State Estimator
    • 3.4.1 Introduction
    • 3.4.2 State Estimator Model
      • 3.4.2.1 Network Topology Processing (NTP)
      • 3.4.2.2 MEAsurements Consistency Checking
      • 3.4.2.3 Observability Analysis
      • 3.4.2.4 State Estimation
        • 3.4.2.4.1 State Variables
        • 3.4.2.4.2 Analog Measurements
        • 3.4.2.4.3 Equality Constraints
        • 3.4.2.4.4 Inequality Constraints
        • 3.4.2.4.5 Bad Data Detection and Filtering
    • 3.4.3 Topology Estimator
    • 3.4.4 Time Schedule Model Implementations
    • 3.4.5 Communication Channels for State Estimator

4 Market Overview

  • 4.1 Introduction
  • 4.2 Mapping Trends
    • 4.2.1 Increasing Global Energy Demand
    • 4.2.2 Energy Price
  • 4.3 Market Players and Roles
  • 4.4 Market Dynamics
    • 4.4.1 Drivers
      • 4.4.1.1 Regulations and Benefits
      • 4.4.1.2 Smart Grid Rollouts
      • 4.4.1.3 Corporate Social Responsibility (CSR) and Brand Image
    • 4.4.2 Restraints and Challenges
      • 4.4.2.1 Lack of Industry Standards
      • 4.4.2.2 Financial Constraints and Market Education
    • 4.4.3 Opportunities
      • 4.4.3.1 State Estimator for Smart Grid Projects
      • 4.4.3.2 State Estimator for Blackout Mitigation

5 Cost Structure of Power System State Estimator

  • 5.1 Overview
    • 5.1.1 State Estimation is A Statistical Process Whereby
  • 5.2 Price Determinants

6 Implementation Challenges and Experiences

  • 6.1 Overview
  • 6.2 Factors Affecting State Estimator Solution Availability and Accuracy
    • 6.2.1 Incorrect Network Topology
    • 6.2.2 Inadequate Observability
    • 6.2.3 Inadequate Redundancy
    • 6.2.4 Incorrect Load Distribution Factors for Unobservable Parts of the Network
    • 6.2.5 Power System State Estimator Solution Quality Metrics
  • 6.3 Economic Costs of Power Blackouts/Outages
    • 6.3.1 Summary of the Root Causes Are:
    • 6.3.2 The 2003 Events in North America
    • 6.3.3 The 2003 Events in Europe
    • 6.3.4 Historical Blackouts in Other Regions
    • 6.3.5 Costs and Consequences of System Outages
    • 6.3.6 North American Synchrophasor initiative (NASPI) Program
  • 6.4 Se Implementation: Case Studies
    • 6.4.1 Pacificorp
      • 6.4.1.1 Pacificorp EMS System
      • 6.4.1.2 Pacificorp Se Tuning Experience
      • 6.4.1.3 Pacificorp EMS Advanced Applications (Current)
      • 6.4.1.4 Pacificorp EMS Advanced Applications (Future)
    • 6.4.2 Ercot
      • 6.4.2.1 Cost Vs Output
    • 6.4.3 Midwest Iso Trial

7 Market Size and forecast By Software

  • 7.1 Overview
    • 7.1.1 Input Data and Measurements
    • 7.1.2 Se: Component of EMS Application Suite
    • 7.2 Utility State Estimator Software
  • 7.2.1 Overview
    • 7.2.2 Market Size and forecast By Region
  • 7.3 Power Control Centres
    • 7.3.1 Overview
    • 7.3.2 Market Size and forecast By Region

8 Market Size and forecast By Applications

  • 8.1 Introduction
  • 8.2 Transmission Network
    • 8.2.1 Overview
    • 8.2.2 Market Size and forecast By Region
  • 8.3 Distribution Network
    • 8.3.1 Overview
    • 8.3.2 Market Size and forecast By Region
    • 8.3.3 Market Size and forecast By Components

9 Market Size and forecast By Solution Methods

  • 9.1 Introduction
  • 9.2 Weighted Lease Square (WLS) Method
    • 9.2.1 Overview
    • 9.2.2 Market Size and forecast By Region
  • 9.3 Least Absolute Value (LAV) Method
    • 9.3.1 Overview
    • 9.3.2 Market Size and forecast By Region
  • 9.4 Other Methods
    • 9.4.1 Overview
    • 9.4.2 Market Size and forecast By Region

10 Power System State Estimator (SE): Market Size and forecast, By Regions

  • 10.1 Overview and Introduction
    • 10.1.1 Energy Industry Reviewing Operations
    • 10.1.2 The Transformation of The Electricity Industry
    • 10.1.3 Infrastructure
    • 10.1.3.1 Key Elements Include:
    • 10.1.4 Parfait Charts
  • 10.2 North America
    • 10.2.1 Overview
    • 10.2.2 Market Size and forecast By Software Type
  • 10.3 Europe
    • 10.3.1 Overview
    • 10.3.2 Market Size and forecast By Software Type
  • 10.4 Asia-Pacific
    • 10.4.1 Overview
    • 10.4.2 Market Size and forecast By Software Type
  • 10.5 Latin America
    • 10.5.1 Overview
    • 10.5.2 Market Size and forecast By Software Type
  • 10.6 Middle East and Africa
    • 10.6.1 Overview
    • 10.6.2 Market Size and forecast By Software Type

11 Power System State Estimator: Customers and Value Proposition

  • 11.1 State Estimation Approach
    • 11.1.1 Customers of Real-Time Applications:
    • 11.1.1.1 Pseudo Measurements
    • 11.1.1.2 Pmus
    • 11.1.2 Customers of offline Applications:
  • 11.2 Customer Demand Determinants
    • 11.2.1 Customers of Real-Time Applications
    • 11.2.2 Customers of off-Line
  • 11.3 Value Proposition
    • 11.3.1 Customers of Real-Time and offline Applications

12 Competitive Landscape

  • 12.1 Introduction
    • 12.1.1 Competitive Market Scenario
    • 12.1.2 Agreements/Partnerships/Contracts/Joint Ventures - Most Preferred Strategic Approach
  • 12.2 Key Market Strategies
    • 12.2.1 Mergers & Acquisitions
    • 12.2.2 Agreements/Partnerships/Contracts/Joint Ventures
    • 12.2.3 New Product/Technology Launches
    • 12.2.4 Expansions and Investments

13 Company Profiles

  • 13.1 Abb Group
    • 13.1.1 Business Overview
    • 13.1.2 Products & Services
    • 13.1.3 Key Strategy
    • 13.1.4 Recent Developments
    • 13.1.5 SWOT Analysis
    • 13.1.6 MNM View
  • 13.2 Siemens Ag
    • 13.2.1 Business Overview
    • 13.2.2 Products & Services
    • 13.2.3 Key Strategy
    • 13.2.4 Recent Developments
    • 13.2.5 SWOT Analysis
    • 13.2.6 MNM View
  • 13.3 Alstom
    • 13.3.1 Business Overview
    • 13.3.2 Products & Services
    • 13.3.3 Key Strategy
    • 13.3.4 Recent Developments
    • 13.3.5 SWOT Analysis
    • 13.3.6 MNM View
  • 13.4 Open System International, Inc. (OSI)
    • 13.4.1 Business Overview
    • 13.4.2 Products & Services
    • 13.4.3 Key Strategy
    • 13.4.4 Developments
  • 13.5 General Electric
    • 13.5.1 Business Overview
    • 13.5.2 Products & Services
    • 13.5.3 Key Strategy
    • 13.5.4 Recent Developments
    • 13.5.5 SWOT Analysis
    • 13.5.6 MNM View
  • 13.6 Nexant
    • 13.6.1 Introduction
    • 13.6.2 Products
    • 13.6.3 SWOT Analysis: Nexant
    • 13.6.4 Strategy & Insights
    • 13.6.5 Developments
  • 13.7 ETAP Electrical Engineering Software
    • 13.7.1 Business Overview
    • 13.7.2 Products & Services
    • 13.7.3 Key Strategy
  • 13.8 BCP Switzerland (Neplan)
    • 13.8.1 Business Overview
    • 13.8.2 Products & Services
    • 13.8.3 Key Strategy
    • 13.8.4 Recent Developments
  • 13.9 CYME International
    • 13.9.1 Business Overview
    • 13.9.2 Products & Services
    • 13.9.3 Key Strategic Insights
    • 13.9.4 Recent Developments
    • 13.9.5 SWOT Analysis
  • 13.10 Digsilent (Power Factory)
    • 13.10.1 Business Overview
    • 13.10.2 Product offerings
    • 13.10.3 Key Strategy
    • 13.10.4 Recent Developments
    • 13.10.5 SWOT Analysis
    • 13.10.6 MNM View
  • 13.11 Energy Computer Systems (Spard)
    • 13.11.1 Business Overview
    • 13.11.2 Products & Services
    • 13.11.3 Key Strategy
    • 13.11.4 Recent Developments
  • 13.12 Electrocon (CAPE)
    • 13.12.1 Overview
    • 13.12.2 Products & Services
  • 13.13 EPFL (Simsen)
    • 13.13.1 Business Overview
    • 13.13.2 Products & Services
    • 13.13.3 Developments
  • 13.14 GDF Suez (Eurostag)
    • 13.14.1 Business Overview
    • 13.14.2 Products & Services
    • 13.14.3 Key Strategy
    • 13.14.4 Recent Developments
  • 13.15 Powerworld
    • 13.15.1 Business Overview
    • 13.15.2 Products & Services
    • 13.15.3 Key Strategy
    • 13.15.4 Developments
  • 13.16 KEPCO (KW-PSS)
    • 13.16.1 Business Overview
    • 13.16.2 Products & Services
    • 13.16.3 Key Strategy
    • 13.16.4 Recent Developments
  • 13.17 PRDC (Mipower)
    • 13.17.1 Business Overview
    • 13.17.2 Products & Services
    • 13.17.3 Key Strategy
    • 13.17.4 Recent Developments
  • 13.18 Inspired Interfaces (Retic Master)
    • 13.18.1 Business Overview
    • 13.18.2 Product offerings
    • 13.18.3 Key Strategy
    • 13.18.4 Recent Developments
  • 13.19 Siemens PTI
    • 13.19.1 Business Overview
    • 13.19.2 Product offerings
    • 13.19.3 Key Strategy
    • 13.19.4 Recent Developments
  • 13.20 SKM (Power Tools for Windows)
    • 13.20.1 Business Overview
    • 13.20.2 Products & Services
    • 13.20.3 Key Strategy
  • 13.21 TOM (Pasha)
    • 13.21.1 Business Overview
    • 13.21.2 Products & Services
    • 13.21.3 Key Strategy

List of Tables

  • Table 1 EMS Software Market Size, By Types, 2013-2014 ($Billion)
  • Table 2 Utility EMS Software Market Size, By Region, 2013-2014 ($Billion)
  • Table 3 Industrial EMS Software Market Size, By Region, 2013-2014 ($Billion)
  • Table 4 Ecem Software Market Size, By Region, 2013-2014 ($Million)
  • Table 5 Residential EMS Software Market Size, By Region, 2013-2014 ($Million)
  • Table 6 Others EMS Software Market Size, By Region, 2013-2014 ($Million)
  • Table 7 Power and Energy Market Size, By Software Type, 2013-2014 ($Billion)
  • Table 8 Power and Energy Market Size, By Region, 2013-2014 ($Billion)
  • Table 9 North America: EMS Market Size, 2013-2014 ($Billion)
  • Table 10 North America: EMS Market Size, By Software Type, 2013-2014 ($Million)
  • Table 11 EU: EMS Market Size, 2013-2014 ($Billion)
  • Table 12 EU: EMS Market Size, By Software Type, 2013-14 ($ Billion)
  • Table 13 APAC: EMS Market Size, 2013-2014 ($Billion)
  • Table 14 Asia-Pacific: EMS Market Size, By Software Type, 2013-2014 ($Billion)
  • Table 15 Latin America: EMS Market Size, 2013-2014 ($Billion)
  • Table 16 Latin America: EMS Market Size, By Software Type, 2013-2014 ($Million)
  • Table 17 MEA: EMS Market Size, 2013-2014 ($Billion)
  • Table 18 MEA: EMS Market Size, By Software Type, 2013-2014 ($Million)
  • Table 19 SCADA Market Size, By Geography, 2013-2014 ($Billion)
  • Table 20 The Americas: SCADA Market Size, By Component, 2013-2014 ($Million)
  • Table 21 The Americas: SCADA Market Size, By Architecture, 2013-2014 ($Million)
  • Table 22 The Americas: SCADA Market Size, By Application, 2013-2014 ($Million)
  • Table 23 Europe: SCADA Market Size, By Component, 2013-2014 ($Million)
  • Table 24 Europe: SCADA Market Size, By Architecture, 2013-2014 ($Million)
  • Table 25 Europe: SCADA Market Size, By Application, 2013-2014 ($Million)
  • Table 26 APAC: SCADA Market Size, By Component, 2013-2014 ($Million)
  • Table 27 APAC: SCADA Market Size, By Architecture, 2013-2014 ($Million)
  • Table 28 APAC: SCADA Market Size, By Application, 2013-2014 ($Million)
  • Table 29 ROW: SCADA Market Size, By Component, 2013-2014 ($Million)
  • Table 30 ROW: SCADA Market Size, By Architecture, 2013-2014 ($Million)
  • Table 31 ROW: SCADA Market Size, By Application, 2013-2014 ($Million)
  • Table 32 Pacificorp Internal and External Model Footprint
  • Table 33 Table: Ercot Internal and External Model Footprint
  • Table 34 Example 1 - No UFE, Congestion
  • Table 35 Example 2A - UFE Concentrated in High Price Zone, Congestion (Uplift LRS UFE Allocation)
  • Table 36 Example 2B - UFE Concentrated in High Price Zone, Congestion (Zonal LRS UFE Allocation)
  • Table 37 Example 3A - UFE Concentrated in Low Price Zone, Congestion (Uplift LRS UFE Allocation)
  • Table 38 Example 3B - UFE Concentrated in Low Price Zone, Congestion (Zonal LRS UFE Allocation)
  • Table 39 Example 4A - UFE Concentrated in One Zone, No Congestion (Uplift LRS UFE Allocation)
  • Table 40 Example 4B - UFE Concentrated in One Zone, No Congestion (Zonal LRS UFE Allocation)
  • Table 41 Example 5A - Positive UFE in High Price Zone, Negative UFE in Low Price Zone Congestion (Uplift LRS UFE Allocation)
  • Table 42 Example 5B - Positive UFE in High Price Zone, Negative UFE in Low Price Zone Congestion (Zonal LRS UFE Allocation)
  • Table 43 Power System State Estimator Market Size, By Software Type, 2012-2019 ($Million)
  • Table 44 State Estimator Market Size, By Utility Application, By Region, 2012-2019($Million)
  • Table 45 State Estimator Market Size, By Power Control Center Application, By Region, 2012-2019($Million)
  • Table 46 Power System State Estimator Market Size, By Application, 2012-2019($Million)
  • Table 47 Transmission Market Size, By Region, 2012-2019($Million)
  • Table 48 Distribution Market Size, By Region, 2012-2019($Million)
  • Table 49 Distribution Market Size, By Components, 2012-2019($Million)
  • Table 50 Power System State Estimator Market Size, By Solution Method, 2012-2019 ($Million)
  • Table 51 Market Size, Weighted Least Square Method, By Region, 2012-2019 ($Million)
  • Table 52 Market Size, Least Absolute Value Method, By Region, 2012-2019 ($Million)
  • Table 53 Market Size, Other Methods, By Region, 2012-2019($Million)
  • Table 54 Power System State Estimator Market Size, By Region, 2012-2019($Million)
  • Table 55 North America Power System State Estimator Market Size, By Software Type, 2012-2019($Million)
  • Table 56 Europe Power System State Estimator Market Size, By Software Type, 2012-2019($Million)
  • Table 57 Asia-Pacific Power System State Estimator Market Size, By Software Type, 2012-2019($Million)
  • Table 58 Latin America Power System State Estimator Market Size, By Software Type, 2012-2019 ($Million)
  • Table 59 Middle East & Africa Power System State Estimator Market Size, By Software Type, 2012-2019 ($Million)
  • Table 60 Mergers & Acquisitions, 2011-2014
  • Table 61 Agreements/Partnerships/Collaborations, 2011-2014
  • Table 62 New Product Launches 2011-2014
  • Table 63 Expansions and Investments, 2011-2014

List of Figures

  • Figure 1 Research Methodology
  • Figure 2 Market Size Estimation Methodology: Bottom-Up Approach
  • Figure 3 Market Size Estimation Methodology: Top-Down Approach
  • Figure 4 Power System State Estimator Market Size, By Region, 2012-2019 ($Million)
  • Figure 5 Market Ecosystem for State Estimator Market
  • Figure 6 Energy Consumption, By Fuel Type, 2012-2020 (Quadrillion BTU)
  • Figure 7 Market Players
  • Figure 8 Model for Centralized to Distributed State Estimation
  • Figure 9 State Estimator Market Size, By Region, 2012-2019 ($Million)
  • Figure 10 State Estimation - Evaluation Procedure:
  • Figure 11 Topology Estimator Adoption : Real-Time Customer Views
  • Figure 12 Topology Estimator Benefits : Real-Time Customer Views
  • Figure 13 Topology Estimator Adoption : off-Line Customer Views
  • Figure 14 Topology Estimator Benefits : off-Line Customer Views
  • Figure 15 Power System State Estimator Market Developments, 2011-2014
  • Figure 16 Market Share, By Growth Strategies, 2011-2014
  • Figure 17 Market Developments, By Growth Strategies, 2011-2014
  • Figure 18 Market Growth Strategies, By Companies, 2011-2014
  • Figure 19 Abb SWOT Analysis
  • Figure 20 Siemens PTI SWOT Analysis
  • Figure 21 Alstom SWOT Analysis
  • Figure 22 General Electric SWOT Analysis
  • Figure 23 CYME Internationalswot Analysis
  • Figure 24 Digsilent SWOT Analysis
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