Ontario

  • Market structure: A hybrid wholesale electricity market with significant amounts of centrally procured or regulated supply. Retail market created with no active participants. Smart meters are owned, installed and maintained by the Local Distribution Companies (LDCs)
  • Number of retail customers: 4.8 million
  • Electricity consumed (2011): 141.5 TWh
  • Peak Demand for Power (2011): 24, 707 MW
  • Net Revenue to Distribution: $3.2 billion CDN
  • Distribution Network: 158,951 km of overhead lines 38,637 km of underground lines 674,966 km2 of rural area 6,714 km2 of urban area 80 LDCs (most are small municipally owned utilities, 72% of the province is served by 10 utilities, 25% is served by Hydro One)
  • Contact: Usman Syed / Ontario Ministry of Energy Usman.Syed@ontario.ca

Ontario Smart Meter Deployment Project

In April 2004 Ontario announced the deployment of smart meters in all homes and small business by the end of 2010. In 2010, the energy regulator, Ontario Energy Board, set mandatory dates for the adoption of time of use prices for smart metered customers. As of December 2012, smart meter installation is complete with 4.8 million smart meters installed in the province and 4.5 million customers on time of use (TOU) rates. The TOU rates have 3 bands:

Prices are regulated by the Ontario Energy Board and set twice a year for the summer and winter periods. Each local distribution company in Ontario has deployed its own smart metering infrastructure and each is integrated with a central meter data management repository (MDM/R). The MDM/R is currently operated by the Independent Electricity System Operator (IESO) in its capacity as the “Smart Metering Entity”. The IESO developed the specifications and through a competitive bidding process awarded a contract to IBM Canada to build and operate the system. As a centralized system, the MDM/R serves to provide hourly billing quantity data for the distribution companies so they may use the data to bill their customers on TOU rates. The data that the MDM/R receives is completely anonymized, with only time-stamped consumption data.As a central database which stores valuable data from across the province, the MDM/R is strategically positioned to leverage the data for analysis at an aggregate level and to provide important evidence from which to base conservation and demand management programs off of, and to use in evaluation of those programs. In the future, this data may also be made accessible to companies who want to develop innovative smart grid technologies based off of real consumption data.

Objectives and benefits

The smart meters project was designed as a step toward modernizing the electricity system with would yield the following benefits to the customer and the electricity system:

Smart meter benefits to the electricity system

  • Facilitates conservation and demand management programs
  • Accurate meter reads (no more estimates)
  • Timely information to help manage consumption
  • Proactive customer service (e.g. immediate outage notification)
Cookie Policy

1. What are cookies?

Cookies are text files that are stored on a visitor's device that store and retrieve information about their browsing activity. Section 3 of this policy details the specific use of cookies on this website.

If you would like more information about cookies, please see the following links:

2. How to accept, deny or revoke consent for the installation of cookies

The website has a consent manager that allows users to accept, reject or configure the installation of cookies when they access the site. The possible situations are as follows:

  • Consent: By clicking the “Accept” button, you agree to all cookies being installed on your device.
  • Deny consent: In the configuration panel, you can reject all cookies by clicking the “Reject” button.
  • Configure consent: Click the “Settings” button to open a menu where you can specify which types of cookie you consent to being installed.

You can also delete cookies using your browser's settings. These allow you to adjust privacy levels, such as denying all cookies or deleting saved ones. To modify these parameters, consult the manufacturer or review the following documentation: Android Chrome, BraveGoogle Chrome, iOS Safari, Microsoft EdgeMozilla Firefox, Opera, and Safari.

Please note that if you restrict or block some or all cookies from this website, some of the functionalities or services provided on the page may not be available.

3. Types of cookies used on this website

  • Technical cookies: These allow users to navigate the website and use its various options and services, including those used by the editor to manage the website, such as controlling traffic and data communication, identifying sessions, accessing restricted access areas, controlling fraud relating to service security, processing registration or event participation requests, counting visits for software licence billing purposes, using security elements during navigation, storing content for video or audio dissemination, enabling dynamic content (e.g., loading animation of text or images) or sharing content through social networks.
  • Analysis cookies: These allow the responsible party to track and analyse user behaviour. This information is used to measure website activity and introduce improvements based on usage data analysis.

4. List of cookies on this website

The cookies used on this website belong to third parties that are different from the party responsible for service provision. Some of the cookie providers may transfer data to third countries. You can find out about transfers to third countries made by the third parties identified in this Cookie Policy in their respective policies. To find out more, click on the provider's name.

  • Cactus uses the PHPSESSID cookie, a session identifier provided by the server that is strictly necessary for the website to function properly, as it enables users to view and interact with its pages. It also uses the cookie_notice_accepted cookie to store the users' acceptance of the website's cookie policy.
  • Google Analytics uses the _ga cookie to collect anonymous information about how users browse the website is collected, in order to obtain statistics on visits received.