44: Chapter 44 Data Empowerment Clarifies Direction! Review and Research Determine Strategies, Intelligent Scheduling Ushers in a New Journey (1)

The morning mist had not yet fully dissipated, lingering over the Ji Province Nuclear Fusion Power Station with the slight chill of early winter. Inside the Main Control Room, the holographic projection screens were already lit with a soft blue light, giving the entire room a high-tech feel. Dressed in black workwear, Mu Li stood before the screens, his fingertips moving as if conducting a precise symphony, unfolding the summarized data from the livelihood energy demand survey one by one. Data streams flowed like waterfalls across the virtual screens. After a week of intensive investigation, three research teams had covered every corner of Ji Province, collecting over 8,600 valid questionnaires and visiting more than 230 enterprises of various sizes and 150 public service venues such as hospitals, schools, and shopping malls. This culminated in a complete research data system covering the three major sectors of residential, commercial, and industrial use, with all data clearly categorized and easy to understand at a glance.

"Engineer Mu, all research data from each group has been entered into the system. After three rounds of cross-validation and outlier removal, the data accuracy has reached 98.7%, fully meeting the requirements for subsequent analysis and system implementation." Li Mingyu walked quickly to Mu Li's side, fine beads of sweat on his brow, clearly having just finished the final data check. He raised his hand to call up the visualized data charts generated by the system—3D bar charts, heat maps, and trend lines were clearly presented. "This is the core data summary of energy demand in various fields. Please take a look; we can supplement it at any time if you have questions."

Mu Li's gaze fell on the bar charts on the screen, his eyes focused and sharp. He spoke slowly, "Let's start with the core findings in the residential sector. From the data, the difference in demand between old and new residential areas is very obvious. What are the specific manifestations? Expand the breakdown data for a look."

The residential group leader, Li Na, took a step forward and tapped the screen to call up the breakdown data panel for the residential sector, where various indicators were clearly listed. "Engineer Mu, just as you previously predicted, residents in old residential areas have a sensitivity to electricity prices as high as 78%. More than 60% of respondents explicitly stated they 'hope for electricity prices to be stable and lower than current levels.' They are more concerned with the economic efficiency of basic electricity use and have a lower dependence on smart devices. In contrast, 52% of residents in new residential areas focus on the stability of energy supply linked to smart homes, especially the simultaneous operating load requirements for new energy vehicle charging piles and smart appliances. This group of users pursues quality of life, and their sensitivity to electricity prices is actually below 30%; they care more about the convenience and continuity of electricity use."

"This difference is crucial and directly determines the direction of our subsequent scheduling strategies." Mu Li nodded slightly, his fingertips tapping gently on the screen. He turned to look at Wang Hao, the leader responsible for the commercial sector. "On the commercial side, did the demand from public service venues exceed expectations? Are the demand priorities for hospitals and shopping malls clear?"

Wang Hao immediately pulled up the data heat map for the commercial sector, where red areas represented high demand indicators. "It exceeded expectations by quite a bit. Public service venues like hospitals and schools have a power supply reliability requirement of 99.99%. In particular, Grade-A Tertiary Hospitals have explicitly set a 'zero blackout' hard requirement, fearing that energy fluctuations would affect the normal operation of critical medical equipment like ventilators and operating room devices. They even requested that we provide a seamless switching solution for backup energy. Large shopping malls, on the other hand, are more concerned with the flexibility of peak-valley electricity prices. They hope to dynamically adjust energy supply based on customer flow peaks, ensuring sufficient power during crowded periods like weekends and holidays, and automatically reducing energy consumption during low-peak hours in the early morning to lower overall operating costs."

The industrial group leader, Zhang Peng, immediately added, "The demand from industrial users is relatively concentrated. 85% of manufacturing enterprises are most concerned with energy cost control, as energy consumption accounts for 20%-30% of their production costs. This is followed by continuity of supply, fearing that power outages would lead to production line interruptions and cause losses. It's worth noting that several high-tech enterprises have proposed 'customized energy supply' needs. Their production processes are complex with large energy consumption fluctuations, and they hope to obtain dynamic energy scheduling support based on real-time production flow changes to ensure the stability of the production process."

Mu Li fell silent for a moment, drawing a smooth trend line on the screen to mark the peak demand periods for the three major sectors. "This data fully demonstrates that we cannot use a uniform energy supply model to cover all users. Our previous preliminary scheduling ideas were too general and must be adjusted. We need to establish a 'layered and classified' precision scheduling system, formulating differentiated strategies for the core needs of different users." He turned to look at Lin Wei and Zhao Kai, his eyes filled with expectation. "What specific inspirations do you think this data provides for the implementation of the Intelligent Operation and Scheduling System? How should we optimize it based on the system's existing framework?"

Lin Wei immediately took a step forward and pushed up the glasses on the bridge of her nose, her eyes bright. "Engineer Mu, I believe the core is to add a 'User Profile Tag' module to the system. Based on the research data, we can apply precise tags to different types of users, such as 'Old Residential Area Resident,' 'New Residential Area Smart User,' 'Grade-A Tertiary Hospital,' 'Large Shopping Mall,' and 'Manufacturing Enterprise.' Each tag will correspond to a set of core demand parameters. For example, assign the 'Highest Priority Power Supply Guarantee' tag to hospitals to ensure their energy supply takes precedence under any circumstances, and assign the 'Price Sensitive' tag to old residential areas to focus on optimizing cost control during scheduling."

Zhao Kai took over, his fingers moving rapidly over the virtual keyboard to call up historical grid load data. "I'll add one point. The intelligent scheduling system needs to be deeply linked with grid load forecasting data. From the research data, residential electricity peaks are concentrated between 18:00 and 22:00, which is when everyone gets home from work to cook and use electricity. Commercial peaks are between 12:00-14:00 and 19:00-21:00, corresponding to dining and shopping peaks. Industrial users have production periods from 8:00-12:00 and 14:00-18:00. There is partial overlap between these three peaks, which will put significant pressure on the grid. The system needs to accurately predict the load peaks during these overlapping periods and adjust energy output two hours in advance to avoid supply gaps."

"What you've both said is very critical; you've grasped the core issues." Mu Li nodded approvingly, his tone firm. "Li Mingyu, the next core task for the research team is to cooperate with the R&D team to translate this research data into specific parameter configuration bases for the intelligent scheduling system. For instance, the load thresholds, priority weights, and electricity price sensitivity coefficients for different user groups must be quantified into specific data and entered into the system to ensure it can accurately identify and respond."

Li Mingyu immediately took out his terminal to record, his stylus sliding quickly across the screen. "Understood! We will set up a special coordination group and have a deep integration session with the R&D team this afternoon. However, Engineer Mu, there is one issue I need to consult you on: the customized needs of some high-tech enterprises are quite unique, involving energy fluctuations in specific production processes. The corresponding scheduling parameters are difficult to standardize. How should we handle this?"

Mu Li pondered for a moment, his fingertips gently stroking his chin, a flash of decisiveness in his eyes. "For these types of special needs, we cannot use a one-size-fits-all approach. We can set up a 'Customized Scheduling Interface' in the system. First, select two to three representative enterprises to carry out a pilot program and assign dedicated personnel to follow up. Later, based on the pilot's operation, we can summarize parameter templates that can be replicated and promoted. Zhao Kai, you will be responsible for coordinating with these enterprises. Visit them in person to gain a detailed understanding of their production processes, energy consumption fluctuation patterns, and specific needs, and then form a special report."

"Received! I will contact these enterprises this afternoon and arrange on-site visits tomorrow to ensure we fully understand their needs," Zhao Kai responded in a deep voice, immediately recording the task on his terminal.

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At 10:00 AM, the review meeting for the research data concluded successfully. All teams immediately threw themselves into the preparation work for the implementation of the Intelligent Operation and Scheduling System, creating a busy yet orderly scene in the Main Control Room.

As Mu Li returned to his temporary office and opened the system backend to check the preliminary parameter configuration, he saw Zhang Hongyuan walking over in a hurry. Zhang Hongyuan's steps were light, and his face was beaming with joy: "Engineer Mu, the procurement contract for the intelligent robots for core equipment maintenance has been signed. The manufacturer indicated that they can arrange for technicians to come on-site for installation and commissioning next week, so it won't delay the project schedule. In addition, the first batch of recruits for the operations team has all arrived, including Zhou Yaqi, whom you were particularly interested in. Her professional background and work experience are a perfect fit for our needs."

"Zhou Yaqi has arrived?" A flash of anticipation crossed Mu Li's eyes as he leaned forward slightly. "Has her position been arranged? Have you let her familiarize herself with the project situation and research data as soon as possible?"

"She has been assigned to the Operation and Scheduling Group as deputy team leader, assisting Zhao Kai in advancing the work related to the implementation of the scheduling system." Zhang Hongyuan handed over a set of onboarding documents. "She only arrived yesterday, yet she voluntarily worked overtime to study the project materials and submitted an optimization proposal for the scheduling management of large-scale energy projects. Her train of thought is very clear, and the concept of 'hierarchical response and dynamic adjustment' she proposed aligns perfectly with our current work priorities. Even Zhao Kai praised her professional competence."

Mu Li flipped through the documents. Seeing that Zhou Yaqi's proposal detailed the drawbacks of traditional scheduling models and proposed targeted optimization directions based on the research data, he nodded with satisfaction: "Very good. She is a talented person who is willing to study and has ideas. Have her attend the docking meeting between the R&D team and the research team this afternoon to help her integrate into the work atmosphere as soon as possible. In addition, you must follow the installation and commissioning of the intelligent robots throughout the entire process. Arrange for key technical personnel to learn during the process to ensure the equipment can be successfully put into operation. The maintenance of core equipment is the foundation of the project's stable operation; not a single detail can be overlooked."

"Rest assured, Engineer Mu. I have already arranged for two core technical personnel to follow the entire process. The manufacturer has also promised to provide one year of technical support, so any issues can be resolved in a timely manner." Zhang Hongyuan said. "By the way, the 2 billion yuan in special subsidy funds from the Ministry of Finance has all arrived. The finance team has already formulated a detailed breakdown of usage, with 300 million yuan specifically allocated for the construction and pilot work of the Intelligent Operation and Scheduling System. The funding is fully secured."

"It's good that the funding is secured." Mu Li said. "Tell the finance team to execute strictly according to the usage breakdown, establish a special account, and keep records and vouchers for every expenditure to ensure that the funds are used where they are most needed and are ready for subsequent audits."

At noon, Mu Li went to the staff canteen for lunch. Just after sitting down, he saw Zhou Yaqi and Zhao Kai sitting at a nearby table, heads lowered in discussion with research data reports spread out on the table. He carried his tray over and sat down: "Zhou Yaqi, welcome to the team. I heard you submitted an optimization proposal for scheduling management. Your line of reasoning is very insightful, and Zhao Kai has nothing but praise for you."

Zhou Yaqi quickly stood up to greet him, a humble smile on her face: "Thank you for the recognition, Engineer Mu. When I worked at a nuclear power station previously, I came into contact with similar scheduling management work for large-scale energy projects and accumulated some experience. Combining that with the characteristics of our project and the research data, I put forward some preliminary suggestions, though they are not yet mature. Currently, I am still deepening my familiarity with the research data and the system framework, and I will further refine them based on the actual situation later."

"Your experience is very important to us, especially regarding the stability of the scheduling system and emergency response." Mu Li said. "The core of our project's Intelligent Operation and Scheduling System is 'user-demand oriented,' which is very different from the scheduling models of traditional energy projects and requires more innovative ideas. At the docking meeting this afternoon, please feel free to express more of your views and boldly put forward your own suggestions."

Zhao Kai put down his chopsticks and added: "Engineer Mu, Yaqi has already helped me sort out the scheduling needs of industrial users and proposed a 'classified and hierarchical response' approach. It coincides with the 'layered and classified' scheduling system you proposed this morning. Moreover, she has refined the response process and timeline, which is very practical."

Mu Li felt gratified. Watching the two of them working in tacit cooperation, he said: "That's perfect. At the meeting this afternoon, you can elaborate on this approach, have an in-depth discussion with the R&D team and the research team, and polish the plan to be even more perfect. As long as our team works together in unity and pools our wisdom, we will definitely be able to build the Intelligent Operation and Scheduling System well."

At 2:00 PM, the docking meeting for the implementation of the Intelligent Operation and Scheduling System was officially convened. In the conference room, core members of the R&D team, research team, and operations team gathered together. The holographic projection screen clearly displayed the research data and the preliminary system design plan. Personnel from all sides sat around the screen, the atmosphere focused and enthusiastic.

Lin Wei stood up first to introduce the system design plan, her fingertips operating flexibly on the screen: "Currently, the Intelligent Operation and Scheduling System has completed the construction of its core framework, including four core parts: the data collection module, load forecasting module, scheduling decision module, and emergency response module. Combined with the research data reviewed this morning, we plan to add a 'User Profile Tag' sub-module to the scheduling decision module to achieve precise scheduling based on the demand characteristics of different users. At the same time, we will optimize the algorithm of the load forecasting module, incorporating the user behavior habits from the research data to improve forecasting accuracy."

Li Mingyu immediately stood up and presented the parameter suggestions converted from the research data: "These are the core parameters for different user groups that our team sorted out overnight. For example, the electricity price sensitivity weight for old residential areas is set to 0.8, the power supply priority weight for hospitals is set to 1.0, and the peak-valley adjustment coefficient for large shopping malls is set to 0.7, etc. These parameters need to be embedded into the system by the R&D team to ensure the accuracy and targeted nature of scheduling decisions."

Zhou Yaqi raised her hand to signal. After receiving permission, she stood up to speak, her tone calm and professional: "I have a supplementary suggestion. In the emergency response module, in addition to the conventional load shedding plan, a 'User Priority Dynamic Adjustment' function should be added. For example, in the event of extreme weather, equipment failure, or other unexpected situations, in addition to guaranteeing fixed high-priority users such as hospitals and schools, we can also temporarily increase the priority of some livelihood users based on real-time conditions, such as electricity for heating equipment in old residential areas and basic electricity for residents, to avoid affecting the basic lives of ordinary citizens due to emergency shedding."

A look of approval flashed in Mu Li's eyes, and he nodded in agreement: "This suggestion is very necessary; there are no small matters when it comes to people's livelihoods. Emergency response must not only guarantee key facilities but also take into account the basic living needs of ordinary citizens; this is the original intention of our project. Lin Wei, this function must be incorporated into the system optimization plan, and you should organize technical personnel to push it forward as soon as possible."

"Understood! We will immediately organize technical personnel to perfect the design of the emergency response module to ensure it covers livelihood needs." Lin Wei quickly recorded this optimization point and responded.

Zhao Kai continued: "In addition, regarding the customized scheduling needs of industrial users, I have already contacted several representative enterprises this morning. They are very cooperative with the pilot work and are willing to provide real-time production energy consumption data. Subsequently, we will arrange for dedicated personnel to be stationed on-site to collect data and provide it to the R&D team for debugging and optimizing customized scheduling parameters to ensure their production needs are met."

The meeting lasted for more than three hours. All parties fully discussed and reached a consensus on the core issues of the system implementation, clarifying the division of responsibilities for each team: the R&D team is responsible for completing system parameter configuration and functional optimization within a week to ensure the system meets the standards for trial operation; the research team is responsible for continuously following up on user needs, providing subsequent data support, and dynamically updating user profiles; the operations team is responsible for the docking with pilot enterprises and the preparation work for system trial operation, formulating detailed trial operation plans and emergency response plans.