Collaborating Authors


Honeywell buys Sparta Systems for $1.3 billion, plots life sciences expansion


Infrastructure around the world is being linked together via sensors, machine learning and analytics. We examine the rise of the digital twin, the new leaders in industrial IoT (IIoT) and case studies that highlight the lessons learned from production IIoT deployments. Honeywell will acquire life sciences software company Sparta Systems for $1.3 billion in a move that will expand the reach for the Honeywell Forge platform. Sparta Systems features quality management software delivered as a service with artificial intelligence. Honeywell's plan is to leverage Sparta Systems and combine it with the Forge platform and Experian Process Knowledge System to expand more into life sciences.

Reinforcement Learning to Reduce Building Energy Consumption


The need for Energy Savings has become increasily foundamental to fight Climate Change. We have been working on a cloud-based RL algorithm that can retrofit existing HVAC controls to obtain substantial results. In the last decade, a new class of controls which relies on Artificial Intelligence have been proposed. In particular, we are going to highlight data-driven controls based on Reinforcement Learning (RL), since they showed from the very beginning promising results as HVAC controls [2]. There are two main ways to upgrade with RL the air conditioning systems: to implement RL on new systems or to retrofit the existing ones.

Siemens providing long-term gas-fired turbine AI and machine learning upgrades for Jebel Ali power plant in Dubai


Siemens Energy will supply new controllers and other major upgrades as part of an extended service agreement for a Dubai power plant. Dubai Electricity and Water Authority (DEWA) signed Siemens to a new, 20-year long-term service agreement. The service term calls for a wide array of upgrades and supply of new technologies. Among those, Siemens Energy will supply an intelligent controller for each of the four SGT5-4000F gas-fired turbines at the Jebel Ali L2 power and water station. This includes the SPPA-T3000 control system, as well as services for the plant's generators and tools to improve operational flexibility and reduce outage times.

This device will help make your AC unit more efficient — and it's on sale


The Cielo Breez Eco Smart AC Controller is the knight in shining armor you need to make your ductless cooling system more high-tech. This device allows you to operate your remote-controlled cooling unit, like a window or mini-split air conditioner, from your smartphone. It can be mounted on the wall or placed on a desk or table; then, you can use the thermostat's companion app to make the most of its features, which include scheduling, location-based control, and access to filter status and usage history. Want your air conditioner to come on right before you arrive home after a long work day or social outing? Turn on the geo-fencing feature, set your preferred conditions, and your ideal room conditions will await you.

Nest thermostats in the US and Canada can now monitor your HVAC system


The latest Nest thermostat isn't the only model that can tell you if something's wrong with your HVAC system. Even older models will get the capability, now that the Google-owned brand has rolled out HVAC monitoring to all Nest thermostats across the US and parts of Canada. According to software engineers from the Nest team, they started working on the HVAC monitoring feature two years ago as a side project. The company started testing it earlier this year, sending users who sign up for the Nest Home Report alerts if the system detects something wrong with their heating, ventilation or AC. Nest's HVAC monitoring capability will send you alerts via email or the Google Home app if it sees any signs of a malfunction.

Siemens Healthineers India launches ACUSON Redwood Ultrasound System


At the 73rd Annual Conference of Indian Radiological & Imaging Association (IRIA) 2020, Gandhinagar, Siemens Healthineers launched the ACUSON Redwood Ultrasound System. The system is built on the company's new platform architecture and features advanced applications for greater clinical confidence, AI-powered tools for smart workflows and has shared services cardiology features used by different hospital departments. "We are seeing an increased demand for premium medical imaging services being driven by the growing healthcare needs of a population with varied requirements, particularly in regard to chronic diseases," says Vivek Kanade, Executive Director, Siemens Healthineers India. We worked together with inputs from users to transform care delivery with the ACUSON Redwood and meet these challenges." The ACUSON Redwood's advanced applications, including Contrast Enhanced Ultrasound (CEUS) and Shear wave Elastography, are available for the first time from the company in this segment and support precise lesion detection and characterisation as well as potentially reduces the need for invasive procedures.

Comprehensive Report on Artificial Intelligence in Energy Market 2020


Artificial Intelligence in Energy Market research report is the new statistical data source added by A2Z Market Research. "Artificial Intelligence in Energy Market is growing at a High CAGR during the forecast period 2020-2026. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market". Artificial Intelligence in Energy Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors.

Create Apache Spark machine learning pipeline - Azure HDInsight


To demonstrate a practical use of an ML pipeline, this example uses the sample HVAC.csv data file that comes pre-loaded on the default storage for your HDInsight cluster, either Azure Storage or Data Lake Storage. HVAC.csv contains a set of times with both target and actual temperatures for HVAC (heating, ventilation, and air conditioning) systems in various buildings. The goal is to train the model on the data, and produce a forecast temperature for a given building.

One for Many: Transfer Learning for Building HVAC Control Artificial Intelligence

The design of building heating, ventilation, and air conditioning (HVAC) system is critically important, as it accounts for around half of building energy consumption and directly affects occupant comfort, productivity, and health. Traditional HVAC control methods are typically based on creating explicit physical models for building thermal dynamics, which often require significant effort to develop and are difficult to achieve sufficient accuracy and efficiency for runtime building control and scalability for field implementations. Recently, deep reinforcement learning (DRL) has emerged as a promising data-driven method that provides good control performance without analyzing physical models at runtime. However, a major challenge to DRL (and many other data-driven learning methods) is the long training time it takes to reach the desired performance. In this work, we present a novel transfer learning based approach to overcome this challenge. Our approach can effectively transfer a DRL-based HVAC controller trained for the source building to a controller for the target building with minimal effort and improved performance, by decomposing the design of neural network controller into a transferable front-end network that captures building-agnostic behavior and a back-end network that can be efficiently trained for each specific building. We conducted experiments on a variety of transfer scenarios between buildings with different sizes, numbers of thermal zones, materials and layouts, air conditioner types, and ambient weather conditions. The experimental results demonstrated the effectiveness of our approach in significantly reducing the training time, energy cost, and temperature violations.

Cielo Breez Plus review: A superb way to make your dumb air conditioner smart


Easy to set up and incredibly responsive, the Cielo Breez Plus is one of two Wi-Fi-connected air-conditioner controllers this company manufactures. Like many similar devices we've tested, the simpler (and less-expensive, at a street price of $68) Breez Eco relies entirely on the Cielo Home app. The pricier Breez Plus, reviewed here, has a street price of $109, but it features a display and onboard controls, so you can program a connected air conditioner without needing to pull out your mobile device. The Breez Plus, like all Wi-Fi A/C controllers, enables your generally unconnected window, portable, mini-split, and various other types of air conditioner (or dehumidifier) to be a lot smarter. Not only do you gain more control over your appliance, you also stand to save money by reducing your energy consumption. These controllers operate much like a smart thermostat for a whole-house HVAC system, but they manage a single device in one room.