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市場調査レポート

世界の電力系統用状態推定器市場の動向分析・予測:ソフトウェアタイプ(ユーティリティ・電力制御センター)・導入先(送電・配電)・ソリューション(WLS・LAV・カルマンフィルター・ベイジアン・ガウスニュートン法)別

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

発行 MarketsandMarkets 商品コード 316175
出版日 ページ情報 英文 189 Pages
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世界の電力系統用状態推定器市場の動向分析・予測:ソフトウェアタイプ(ユーティリティ・電力制御センター)・導入先(送電・配電)・ソリューション(WLS・LAV・カルマンフィルター・ベイジアン・ガウスニュートン法)別 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: 2014年09月23日 ページ情報: 英文 189 Pages
概要

状態推定器の需要拡大が示され、省エネルギーへの関心が高まっていることなどから、世界の電力系統用状態推定器の市場は、2014年から2019年にかけて14.35%のCAGRで推移し、2014年の30億ドルから、2019年には58億7,000万ドルの規模に達すると予測されています。

当レポートでは、世界の電力系統用状態推定器の市場について詳細に分析し、ソフトウェアタイプ、導入先、ソリューション、地域別の市場規模の推移と予測、市場への各種影響因子の分析、企業および企業間の動向、主要企業のプロファイルなどをまとめています。

第1章 イントロダクション

第2章 調査手法

第3章 産業概要

  • 市場エコシステム
  • エネルギー管理システム(EMS)
    • イントロダクション
    • EMS市場における動向
    • 市場規模・予測:ソフトウェア別
      • 概要
      • ユーティリティ用EMSソフトウェア
      • 産業用EMSソフトウェア
      • 企業向けカーボン&エネルギー管理ソフトウェア
      • 家庭用EMS
      • その他
    • 市場規模・予測:電力・エネルギー産業
      • 市場規模・予測:ソフトウェアタイプ別
      • 市場規模・予測:地域別
    • 市場規模・予測:地域別
      • 北米市場:ソフトウェアタイプ別
      • 欧州
      • アジア太平洋地域
      • ラテンアメリカ
      • 中東・アフリカ
  • SCADA(監視制御システム)
    • イントロダクション
    • 市場規模・予測:地域別
      • 概要
      • 南北アメリカ
        • 市場規模・予測:コンポーネント別
        • 市場規模・予測:アーキテクチャ別
        • 市場規模・予測:アプリケーション別
      • 欧州
        • 市場規模・予測:コンポーネント別
        • 市場規模・予測:アーキテクチャ別
        • 市場規模・予測:アプリケーション別
      • アジア太平洋地域
        • 市場規模・予測:コンポーネント別
        • 市場規模・予測:アーキテクチャ別
        • 市場規模・予測:アプリケーション別
      • その他の地域
        • 市場規模・予測:コンポーネント別
        • 市場規模・予測:アーキテクチャ別
        • 市場規模・予測:アプリケーション別
  • 状態推定器
    • イントロダクション
    • 状態推定器モデル
      • ネットワークトポロジプロセッシング(NTP)
      • 測定値の無矛盾性検査
      • 観察による分析
      • 状態推定
    • トポロジー推定
    • タイムスケジュールモデルの実施
    • 状態推定器のための通信チャネル

第4章 市場概要

  • イントロダクション
  • マッピング動向
    • 世界のエネルギー需要の増加
    • エネルギー価格
  • 市場参入者とその役割
  • 市場力学
    • 促進因子
      • 法規制・メリット
      • スマートグリッドの展開
      • 企業の社会的責任(CSR)とブランドイメージ
    • 阻害因子および課題
      • 業界標準の欠如
      • 財政的制約・市場教育
    • 市場機会
      • スマートグリッドプロジェクト用状態推定器
      • 停電の被害緩和のための状態推定器

第5章 電力系統用状態推定量のコスト構造

  • 概要
    • 状態推定は統計的工程
  • 価格決定因子

第6章 実装における課題と経験

  • 概要
  • 状態推定器ソリューションの可用性および精度に影響している要因
    • 不正のネットワークトポロジー
    • 不十分な観測
    • 不十分な冗長性
    • ネットワークの観測できない部分の不正の負荷配分因子
    • 電力系統向け状態推定量ソリューションの品質メトリクス
  • 停電/停電の経済的コスト
    • 根本原因のサマリー
    • 北米での事象
    • 欧州での事象
    • その他の地域での歴史的停電
    • システム機能停止のコストと結果
    • NASPI(North American Synchrophasor Initiative)プログラム
  • SEの実装:ケーススタディ
    • Pacificorp
      • PacificorpのEMSシステム
      • PacificorpのSEチューニング経験
      • PacificorpのEMSの高度な用途(現在)
      • PacificorpのEMSの高度な用途(将来)
    • Ercot
      • コスト vs 生産量
    • Midwest ISO Trial

第7章 市場規模・予測:ソフトウェアによる別

  • 概要
  • 電力制御センター

第8章 市場規模・予測:導入先別

  • イントロダクション
  • 伝送ネットワーク
    • 概要
    • 市場規模・予測:地域別
  • 流通ネットワーク
    • 概要
    • 市場規模・予測:地域別
    • 市場規模・予測:コンポーネント別

第9章 市場規模・予測:ソリューション法別

  • イントロダクション
  • 加重最小二乗(WLS:Weighted Least Squares)法
    • 概要
    • 市場規模・予測:地域別
  • 最小絶対値(LAV:Least Absolute Value)法
    • 概要
    • 市場規模・予測:地域別
  • その他の方法
    • 概要
    • 市場規模・予測:地域別

第10章 電力系統用状態推定器(SE):地域別の市場規模・予測

  • 概要・イントロダクション
    • 事業活動を見直しているエネルギー産業
    • 電力産業の転換
    • インフラ
    • パフェチャート
  • 北米
    • 概要
    • 市場規模・予測:ソフトウェアタイプ別
  • 欧州
    • 概要
    • 市場規模・予測:ソフトウェアタイプ別
  • アジア太平洋地域
    • 概要
    • 市場規模・予測:ソフトウェアタイプ別
  • ラテンアメリカ
    • 概要
    • 市場規模・予測:ソフトウェアタイプ別
  • 中東・アフリカ
    • 概要
    • 市場規模・予測:ソフトウェアタイプ別

第11章 電力系統用状態推定器:顧客・提供価値

  • 状態推定アプローチ
    • リアルタイム導入の顧客
    • オフライン導入の顧客
  • 顧客需要決定因子
    • リアルタイム導入の顧客
    • オフライン導入の顧客
  • 提供価値
    • リアルタイム&オフライン導入の顧客

第12章 競合情勢

  • イントロダクション
    • 競争市場シナリオ
    • 契約/提携/契約/合弁 :もっとも好ましい戦略的アプローチ
  • 主要市場戦略
    • M&A
    • 契約/提携/契約/合弁
    • 新しい製品・技術の投入
    • 拡張および投資

第13章 企業プロファイル

  • 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)
    • 事業概要
    • 製品&サービス
    • 主要戦略
    • SWOT分析
    • MNMの見解、など

付録

図表リスト

目次
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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