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Market Research Report

Predictive Analytics for Utility Load and DER Forecasting 2016: Markets, Technologies and Strategies

Published by Greentech Media Inc. Product code 346639
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Predictive Analytics for Utility Load and DER Forecasting 2016: Markets, Technologies and Strategies
Published: December 14, 2015 Content info:
Description

Short-term load forecasting is the central predictive analytics application used to match supply with the demand for energy. The proliferation of DERs, efforts to improve utility asset efficiency and reliability, and increasing pressure to improve customer service is necessitating the evolution of these applications to provide more granular forecasts for nodes deeper in the distribution grid or at the customer site.

For utilities, granular short-term load and DER forecasting can form a foundation for new data-driven services for customers and internal stakeholders. As the grid evolves into a smarter, more distributed and more interconnected network, these siteand asset-level forecasting platforms will be key to:

  • Enable DER market integration
  • Improve grid utilization
  • Increase data access and services to customers
  • Enable coordination between utility and customer-owned assets to provide specific locational benefits

As initial predictive analytics solutions mature, short-term load forecasting use cases and business cases are becoming more defined. Leading utilities are using these tools to reduce the risks associated with the operation of the distribution grid, improve revenue assurance and increase customer satisfaction.

This slide-based report gives an in-depth view of load forecasting for the DER market, including market drivers, technologies, applications, competitive positioning and analysis, and product differentiation.

SAMPLE FIGURES


Use Cases Offered

                     Source: GTM Research


DER and Load Forecasting Use-Case Packages

                     Source: GTM Research

Vendors Covered Include:

  • ABB
  • Accenture
  • Autogrid
  • AWS TruePower
  • Bit Stew Systems
  • C3
  • Clean Power Research
  • Grid4C
  • IBM
  • Innowatt
  • Integral Analytics Itron
  • Locus Energy
  • OATI
  • Oracle
  • Pattern Recognition Technologies
  • SAP
  • SAS
  • Siemens
  • Viasala
Table of Contents

1. Introduction and Key Findings

  • Introduction
  • Key Questions
  • Key Findings
  • Scope of the Report

2. Market Drivers and Barriers

  • Evolution of the Drivers of Load Forecasting
  • Market Drivers and Barriers

3. Use Cases - Grid Operations and Customer Analytics Side Market

  • Use Cases at the Distribution Grid
  • Use Cases on the Customer Side
  • Use Case Capabilities and Adoptions

4. Competitive Analysis

  • Vendor Taxonomy
  • Software Workflow
  • Analytics Engine
  • Competitive Analysis of the Vendor Ecosystem
  • Product Packaging and Capabilities
  • Trends in Methodologies
  • Partnerships, Mergers and Acquisitions
  • Vendor Spotlight: Integrating DER with Net Load Forecasts
  • Snapshot of Deployment Pricing Options
  • Leading Vendor Solutions

5. Deployments

  • Key Deployments at North American Utilities
  • HECO's Deployment of DER Forecasting Solutions

6. Conclusions

List of Figures

1. Introduction

  • Markets Covered Depicted on the Grid Edge Cube

2. Market Drivers and Barriers

  • The Evolution of the Drivers of Load Forecasting

3. Use Cases - Grid Operations and Customer Analytics Side Market

  • Use Cases at the Distribution Grid
  • Customer-Side Use Cases
  • Use Cases Extent of Capabilities and Adoptions
  • Vendor Snapshot of Use Case Capabilities

4. Competitive Analysis

  • Vendor Taxonomy
  • Software Workflow
  • Competitive Analysis of Vendor Ecosystem
  • Breakup of Product Packaging and Capabilities
  • Forecast Orientation
  • Degree of Customizability
  • Partnerships and M&A Activity
  • Snapshot of Deployment Pricing Options

5. Deployments

  • Key Deployments in North America
  • HECO Distributed Generation Interconnection Plan
  • Schematic of HECO's Deployment of DER Forecasting Solution
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