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What can Artificial Intelligence (AI) offer the built environment in our age of climate emergency? At the heart of Deep Reinforcement Learning is an agent and an environment. Just as we are starting to learn that our actions within our environment have consequences on an immense, planetary scale, innovative AI is learning too – and faster than us.

By using Deep Reinforcement Learning to optimise the energy efficiency of HVAC systems in the built environment, we can minimise the negative impact of our own actions without sacrificing occupant comfort. As businesses all over the world attempt to transition to Net Zero, this technology has a pivotal role to play.

But why is Deep Reinforcement Learning the best way to optimise HVAC performance?

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Real Estate Investment Trusts (REITs) and Infrastructure Investment Trusts (InvITs) are conceptually like mutual funds in that funds are raised (backed by a sponsor) from institutional and retail investors which is then invested in infrastructure or real estate projects. The income earned from such projects is periodically distributed (at least 90% of net distributable cash flows (NDCF)) to unitholders. However, unlike mutual funds, they also have characteristics of a business enterprise considering they also raise debt and through a Trustee and an Investment Manager, are actively involved in projects to maximize returns to unitholders.

The rising emergence and popularity of REITs/InvITs in India is a welcome development for capital thirsty sectors, e.g., infrastructure (roads and highways, ports, railways, etc.), power, real estate, etc. With a view to increasing private participation supported by favorable government policies (e.g., enabling investment by foreign portfolio investors) and long- term investment outlook, many marquee investors including sovereign and pension funds are continuing to raise their stakes in such assets. Investors benefit from generating regular cash distributions, stable yield and an opportunity for sponsor(s) to expand their asset base.

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Take-up in the region’s warehouse markets remained robust in the second half of 2021, lifted by resurgent trade flows from the recovery in global demand. As a result, rents for logistics warehouses across Asia-Pacific rose by a marginal 0.5% year-on-year in the same period. Despite close to 9 million sqm of new supply expected to be delivered in the region in 2022, vacancies are likely to remain tight on strong demand and active pre-commitments.

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Read on for the full updates from APREA’s Q4 2021 Advocacy Bulletin, which includes the latest industry and regulatory developments from Hong Kong, China, India, and Singapore.

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Following a strong recovery in office demand, reduced vacancies and growth in CBD Grade A office rents in 2021, the Singapore office market is expected to further pick up pace in 2022.

According to Cushman & Wakefield’s ‘Singapore Office Market Outlook 2022’ report, the projected economic growth of 3.6% in Singapore coupled with the positive economic outlook globally and regionally bode well for another robust office market this year, barring any unforeseen circumstances.

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