Re-broadcast: "How much can you reduce factory's massive energy consumption 'just by improving control'?" Webinar
Proxima Technology will re-broadcast a webinar on reducing factory energy consumption. It will explain how to overcome the limitations of PID control and utilize advanced predictive control technology "Smart MPC" and embedded AI control controller "E-Smart MPC" to eliminate energy waste and achieve both stable operation and improved productivity. It supports corporate emission control management in anticipation of the full operation of GX-ETS.
📋 Article Processing Timeline
- 📰 Published: April 8, 2026 at 18:00
- 🔍 Collected: April 8, 2026 at 09:01
- 🤖 AI Analyzed: April 20, 2026 at 20:44 (299h 43m after Collected)
## Press Release Information
Title: Re-broadcast: "How much can you reduce factory's massive energy consumption 'just by improving control'?" Webinar
Subtitle:
Company Name: Proxima Technology Inc.
Industry: Enterprise Systems, Communications, Equipment, Enterprise Systems, Communications, Equipment
Body (initial 8000 characters):
■ Changes in the Environment Surrounding Factories
In recent years, the environment surrounding factories has changed significantly. In addition to soaring energy prices and the need to respond to carbon neutrality, the full-scale operation of GX-ETS (Emissions Trading Scheme) from 2026 will require companies to control emissions themselves more than ever before.
In this context, how to utilize energy without waste while maintaining stable operation and productivity has become an important theme in factory management.
■ Why isn't energy reduction as much as expected, even with energy-saving measures?
As efforts to reduce energy, an increasing number of factories are considering advanced control in addition to updating high-efficiency equipment and reviewing operating conditions. However, conventional PID control has the characteristic that it is difficult to optimize multiple objectives and constraints simultaneously, such as quality, stable operation, and energy reduction, in environments with large disturbances and load fluctuations.
As a result, even if control is improved with energy saving in mind, waste due to control often does not become apparent, leading to insufficient reduction effects.
Therefore, for example, are you not in a situation like this?
・Energy intensity has not decreased as much as expected, despite energy-saving measures.
・Control is said to be fine, but power consumption remains high.
・There seems to be room for improvement, but I don't know where to start.
■ Eliminating control waste that cannot be eliminated by PID control
In this seminar, taking energy-intensive facilities such as factory air conditioning as an example, we will explain specific methods for reducing control irregularities that could not be suppressed by PID control and reducing energy consumption by utilizing advanced control technology "Smart MPC."
"Smart MPC" is a next-generation predictive control technology that automatically derives optimal operations while predicting future behavior. By utilizing past operational data and combining machine learning and optimization technology, it achieves high-precision control without relying on specialized tuning.
Furthermore, by using the embedded AI control controller "E-Smart MPC (Embedded Smart MPC)," it can be directly installed in control panels, and advanced control can be smoothly introduced to the site through GUI operations and automatic adjustment functions. This makes it possible to suppress overall control waste in the factory while simultaneously meeting multi-objective and multi-constraint requirements such as energy reduction, quality stability, and stable operation.
■ Recommended for those who:
・Are responsible for reducing factory energy costs or responding to GX/carbon neutrality.
・Feel the limitations of PID control and want to improve without replacing equipment.
・Want to achieve both energy reduction and stable quality/reduced variation.
・Feel that control irregularities in air conditioning or utilities are affecting production or unit consumption.
■ Organizer/Co-organizer
Proxima Technology Inc.
■ Cooperation
Open Inc.
Keywords: Webinar, DX, IT, Security, Cloud
Title: Re-broadcast: "How much can you reduce factory's massive energy consumption 'just by improving control'?" Webinar
Subtitle:
Company Name: Proxima Technology Inc.
Industry: Enterprise Systems, Communications, Equipment, Enterprise Systems, Communications, Equipment
Body (initial 8000 characters):
■ Changes in the Environment Surrounding Factories
In recent years, the environment surrounding factories has changed significantly. In addition to soaring energy prices and the need to respond to carbon neutrality, the full-scale operation of GX-ETS (Emissions Trading Scheme) from 2026 will require companies to control emissions themselves more than ever before.
In this context, how to utilize energy without waste while maintaining stable operation and productivity has become an important theme in factory management.
■ Why isn't energy reduction as much as expected, even with energy-saving measures?
As efforts to reduce energy, an increasing number of factories are considering advanced control in addition to updating high-efficiency equipment and reviewing operating conditions. However, conventional PID control has the characteristic that it is difficult to optimize multiple objectives and constraints simultaneously, such as quality, stable operation, and energy reduction, in environments with large disturbances and load fluctuations.
As a result, even if control is improved with energy saving in mind, waste due to control often does not become apparent, leading to insufficient reduction effects.
Therefore, for example, are you not in a situation like this?
・Energy intensity has not decreased as much as expected, despite energy-saving measures.
・Control is said to be fine, but power consumption remains high.
・There seems to be room for improvement, but I don't know where to start.
■ Eliminating control waste that cannot be eliminated by PID control
In this seminar, taking energy-intensive facilities such as factory air conditioning as an example, we will explain specific methods for reducing control irregularities that could not be suppressed by PID control and reducing energy consumption by utilizing advanced control technology "Smart MPC."
"Smart MPC" is a next-generation predictive control technology that automatically derives optimal operations while predicting future behavior. By utilizing past operational data and combining machine learning and optimization technology, it achieves high-precision control without relying on specialized tuning.
Furthermore, by using the embedded AI control controller "E-Smart MPC (Embedded Smart MPC)," it can be directly installed in control panels, and advanced control can be smoothly introduced to the site through GUI operations and automatic adjustment functions. This makes it possible to suppress overall control waste in the factory while simultaneously meeting multi-objective and multi-constraint requirements such as energy reduction, quality stability, and stable operation.
■ Recommended for those who:
・Are responsible for reducing factory energy costs or responding to GX/carbon neutrality.
・Feel the limitations of PID control and want to improve without replacing equipment.
・Want to achieve both energy reduction and stable quality/reduced variation.
・Feel that control irregularities in air conditioning or utilities are affecting production or unit consumption.
■ Organizer/Co-organizer
Proxima Technology Inc.
■ Cooperation
Open Inc.
Keywords: Webinar, DX, IT, Security, Cloud