【技术论坛】清华大学+IEEE出版+IEEE大咖加盟|2025年第十届电力与电气工程亚洲会议（ACPEE 2025）持续征稿中！

摘要：This lecture explains what carbonization is, addresses its causes and impacts. It then offers technological solutions to reduce CO2 emissions from the electric power sector which is responsible over 30% of global Carbon emissions. In order to address the reduction of carbon emissions from the electric power sector, a collaborative approach between the industrialized nation states and emerging economies is necessary. This will involve a portfolio of solutions with low-carbon generation from wind, solar, hydro and nuclear, storage, cross-border power transfer and advanced technology focusing on energy efficiency. This talk also discusses the IEEE Climate Change program and related activities.

摘要：Grid digitalization refers to the integration of ICT and data analytic technologies into the power grid to enhance its efficiency, reliability, security, electricity affordability and sustainability while enabling new services, skills, and customer empowerment. However, it poses significant challenges, such as data privacy, cybersecurity, interoperability, regulation, governance, and social acceptance.

Sustainable electricity sources like solar, wind, hydropower, and geothermal energy help decrease greenhouse gas emissions, mitigating climate change and reducing air pollution. Cleaner energy sources lead to better air quality, which can reduce health problems and create a better liveable environment. They can meet our current energy needs without compromising the ability of future generations to meet theirs.

Since the Paris Agreement of Climate Change has become a global attention, countries have deployed more renewable energy to meet their carbon emission targets. The penetration of renewable energy causes voltage and frequency instability. To enable more penetration of renewable energy into the grid while maintaining grid stability, a balancing mechanism via energy storage needs to be in place.

Meanwhile, the liberalization of the electricity supply industry benefits both large business and small household consumers. Consumers are given more choices through competitive pricing and innovative offers. Environmentally conscious consumers can now opt for plans with solar/wind power.

A rapid growth in deployment of renewable-based distribution generators in residential buildings converts residential consumers into prosumers. The surplus energy of prosumers can be shared with their neighbors and/or sold to the upstream grid. Conversely, energy shortage can be bought from the neighbors and/or upstream grid. Smart energy management services and decision support tools are needed to enable the prosumers to make sound transaction decisions while negotiating with other actors/peers in the distribution energy market. The same platform can facilitate EV charging and participation of demand response management.

摘要：The talk will present how machine learning can innovatively and effectively learn from data to support data-driven decision-making in uncertain and dynamic situations.A set of new autonomous transfer learning theories, methodologies and algorithms will be presented that can transfer knowledge learnt in more source domains to a target domain by building latent space, mapping functions and self-training to overcome tremendous uncertainties in data, learning processes and decision outputs.Another set of autonomous concept drift theories, methodologies and algorithms will be discussed about how to handle ever-changing dynamic data stream environments with unpredictable stream pattern drifts by effectively and accurately detecting concept drift in an explanatory way, indicating when, where and how concept drift occurs and reacting accordingly.These new developments enable advanced machine learning and therefore enhance data-driven prediction and decision support systems in uncertain and dynamic real-world environments.

智能电网
智能传感器和先进的计量基础设施、电力和能源系统应用 (发电、输电、配电、市场、运营、规划)、智能电网对分布式能源的影响 (电动汽车、需求响应、分布式发电、存储)、能源管理系统 (应用于智能楼宇及家居自动化)、能源系统的广域保护、通信和控制、网络安全系统 (智能监控及停机管理)、智能电网互操作性和标准、关键基础设施弹性 (自然灾害、地磁扰动等)、可部署的微型电网、智能电网部署和示范项目

电力市场
电力市场经济、电力市场化交易、清洁能源市场、电力国际化及国际市场营销

电力灾害及防护
人员安全防护、高压闪络及爆裂防护、漏电防护、电力安全生产、电力系统自然灾害预警机制、应急反应机制及灾害重建机制、无人机风电巡检技术

能源物联网
电机和调速驱动大数据、数据共享和云计算、物联网的体系结构、物联网的交互、物联网隐私和安全、电力物联网应用、电力物联网经济、人工智能在电力物联网中的应用、大规模可再生能源并网消纳、大电网柔性互联、多元用户供需互动用电、多能源互补的分布式供能与微网

新能源
可再生能源 （风力、水电、太阳能、生物质、生物燃料、地热能、波浪能、潮汐能、氢燃料电池、储能等可再生(绿色)能源体系和资源）、新能源汽车、新能源战略、技术、趋势及工业应用、新能源系统向电网的能源转型、新能源的可靠性、维护、安全与保障

电力工程中的数据科学技术
人工智能/机器学习在电力系统中的应用、数字孪生、大数据在电力系统中的应用

直流微电网
直流系统结构、直流运行控制策略、直流保护策略